Uses of Interface
edu.ucla.sspace.vector.DoubleVector

Packages that use DoubleVector

Package	Description
edu.ucla.sspace.beagle
edu.ucla.sspace.clustering
edu.ucla.sspace.clustering.criterion
edu.ucla.sspace.clustering.seeding
edu.ucla.sspace.common
edu.ucla.sspace.fft
edu.ucla.sspace.index
edu.ucla.sspace.lsa
edu.ucla.sspace.matrix
edu.ucla.sspace.purandare
edu.ucla.sspace.similarity
edu.ucla.sspace.tools
edu.ucla.sspace.util
edu.ucla.sspace.vector

Uses of DoubleVector in edu.ucla.sspace.beagle

Methods in edu.ucla.sspace.beagle that return DoubleVector

Modifier and Type	Method and Description
DoubleVector	Beagle.getVector(String term) Returns the semantic vector for the provided word.

Constructor parameters in edu.ucla.sspace.beagle with type arguments of type DoubleVector

Constructor and Description
Beagle(int vectorSize, Beagle.SemanticType semanticType, Map<String,DoubleVector> vectorMap)
Beagle(int vectorSize, Map<String,DoubleVector> vectorMap)

Uses of DoubleVector in edu.ucla.sspace.clustering

Classes in edu.ucla.sspace.clustering with type parameters of type DoubleVector

Modifier and Type	Class and Description
class	CentroidCluster<T extends DoubleVector> This Cluster represents only the centroid of the data points assigned to it.
interface	Cluster<T extends DoubleVector> An interface for representing a single cluster, which is composed of several data points.
interface	OnlineClustering<T extends DoubleVector> An interface for any Online clustering implementation.
class	OnlineKMeans<T extends DoubleVector> A Generator class for generating a new OnlineKMeansClustering instance.
class	OnlineKMeans.OnlineKMeansClustering<T extends DoubleVector> A simple online implementation of K-Means clustering for Vectors, with the option to perform agglomerative clustering once all elements have been clustered.
class	StreamingKMeans<T extends DoubleVector> An implementation of a simple, highly accurate streaming K Means algorithm.
class	StreamingKMeans.StreamingKMeansClustering<T extends DoubleVector> The internal OnlineClustering implementation.
class	SynchronizedCluster<T extends DoubleVector> A synchronized decorator for Clusters.

Fields in edu.ucla.sspace.clustering declared as DoubleVector

Modifier and Type	Field and Description
protected DoubleVector	BaseSpectralCut.matrixRowSums The centroid of the entire data set.
protected DoubleVector	BaseSpectralCut.rho The sum similarity values from each data point to all other data points, which is equivalent to the simiarltiy between each data point and the centroid of the entire data set.

Methods in edu.ucla.sspace.clustering that return DoubleVector

Modifier and Type	Method and Description
protected static <T extends Matrix> DoubleVector	BaseSpectralCut.computeMatrixRowSum(T matrix) Compute the row sums of the values in matrix and returns the values in a vector of length matrix.columns().
protected static DoubleVector	BaseSpectralCut.computeMatrixTransposeV(Matrix matrix, DoubleVector v) Returns the dot product between the transpose of a given matrix and a given vector.
DoubleVector	EigenCut.computeRhoSum(Matrix matrix) Computes the similarity between each data point and centroid of the data set.
DoubleVector	BaseSpectralCut.computeRhoSum(Matrix matrix) Computes the similarity between each data point and centroid of the data set.
protected abstract DoubleVector	BaseSpectralCut.computeSecondEigenVector(Matrix matrix, int vectorLength) Returns a DoubleVector representing the secord largest eigen vector for the data set.
protected DoubleVector	CKVWSpectralClustering03.SpectralCut.computeSecondEigenVector(Matrix matrix, int vectorLength) Returns a DoubleVector representing the secord largest eigen vector for the data set.
protected DoubleVector	CKVWSpectralClustering06.SuperSpectralCut.computeSecondEigenVector(Matrix matrix, int vectorLength) Returns a DoubleVector representing the secord largest eigen vector for the data set.
DoubleVector[]	Assignments.getCentroids() Returns an array of dense centroid vectors of each discovered cluster which are scaled according the the number of data points asisgned to that cluster.
protected static DoubleVector	BaseSpectralCut.orthonormalize(DoubleVector v, DoubleVector other) Returns a DoubleVector that is the orthonormalized version of v with respect to other.

Methods in edu.ucla.sspace.clustering with parameters of type DoubleVector

Modifier and Type	Method and Description
protected static int	BaseSpectralCut.computeCut(Matrix matrix, DoubleVector rho, double rhoSum, DoubleVector matrixRowSums) Returns the index at which matrix should be cut such that the conductance between the two partitions is minimized.
protected static void	BaseSpectralCut.computeMatrixDotV(Matrix matrix, DoubleVector newV, DoubleVector v) Computes the dot product between a given matrix and a given vector newV.
protected static DoubleVector	BaseSpectralCut.computeMatrixTransposeV(Matrix matrix, DoubleVector v) Returns the dot product between the transpose of a given matrix and a given vector.
protected static DoubleVector	BaseSpectralCut.orthonormalize(DoubleVector v, DoubleVector other) Returns a DoubleVector that is the orthonormalized version of v with respect to other.

Uses of DoubleVector in edu.ucla.sspace.clustering.criterion

Fields in edu.ucla.sspace.clustering.criterion declared as DoubleVector

Modifier and Type	Field and Description
protected DoubleVector[]	BaseFunction.centroids The centroids representing each cluster.
protected DoubleVector[]	HybridBaseFunction.centroids The centroids representing each cluster.
protected DoubleVector	HybridBaseFunction.completeCentroid The summation vector of all data points.

Fields in edu.ucla.sspace.clustering.criterion with type parameters of type DoubleVector

Modifier and Type	Field and Description
protected List<DoubleVector>	BaseFunction.matrix The Matrix holding the data points.
protected List<DoubleVector>	HybridBaseFunction.matrix The Matrix holding the data points.

Methods in edu.ucla.sspace.clustering.criterion that return DoubleVector

Modifier and Type	Method and Description
DoubleVector[]	CriterionFunction.centroids() Returns the final set of centroids computed for the dataset passed to setup.
DoubleVector[]	BaseFunction.centroids() Returns the final set of centroids computed for the dataset passed to setup.
DoubleVector[]	HybridBaseFunction.centroids() Returns the final set of centroids computed for the dataset passed to setup.
protected static DoubleVector	BaseFunction.subtract(DoubleVector c, DoubleVector v) Returns a DoubleVector that is equal to c - v.

Methods in edu.ucla.sspace.clustering.criterion with parameters of type DoubleVector

Modifier and Type	Method and Description
protected double	I2Function.getNewCentroidScore(int newCentroidIndex, DoubleVector dataPoint) Returns the new score for the cluster centroid indexed by newCentroidIndex when dataPoint is added to it.
protected abstract double	BaseFunction.getNewCentroidScore(int newCentroidIndex, DoubleVector dataPoint) Returns the new score for the cluster centroid indexed by newCentroidIndex when dataPoint is added to it.
protected double	E1Function.getNewCentroidScore(int newCentroidIndex, DoubleVector dataPoint) Returns the new score for the cluster centroid indexed by newCentroidIndex when dataPoint is added to it.
protected double	I1Function.getNewCentroidScore(int newCentroidIndex, DoubleVector dataPoint) Returns the new score for the cluster centroid indexed by newCentroidIndex when dataPoint is added to it.
protected double	G1Function.getNewCentroidScore(int newCentroidIndex, DoubleVector dataPoint)
protected double	I2Function.getOldCentroidScore(DoubleVector vector, int oldCentroidIndex, int altClusterSize) Returns the new score for the cluster centroid represented by altCurrentCentroid with the new altClusterSize.
protected abstract double	BaseFunction.getOldCentroidScore(DoubleVector vector, int oldCentroidIndex, int altClusterSize) Returns the new score for the cluster centroid represented by altCurrentCentroid with the new altClusterSize.
protected double	E1Function.getOldCentroidScore(DoubleVector vector, int oldCentroidIndex, int altClusterSize) Returns the new score for the cluster centroid represented by altCurrentCentroid with the new altClusterSize.
protected double	I1Function.getOldCentroidScore(DoubleVector vector, int oldCentroidIndex, int altClusterSize) Returns the new score for the cluster centroid represented by altCurrentCentroid with the new altClusterSize.
protected double	G1Function.getOldCentroidScore(DoubleVector vector, int oldCentroidIndex, int altClusterSize) Returns the new score for the cluster centroid represented by altCurrentCentroid with the new altClusterSize.
protected static double	BaseFunction.modifiedMagnitude(DoubleVector c, DoubleVector v) Returns the magnitude of c as if v was added to the the vector.
protected static double	BaseFunction.modifiedMagnitudeSqrd(DoubleVector c, DoubleVector v) Returns the magnitude squared of c as if v was added to the vector.
protected static DoubleVector	BaseFunction.subtract(DoubleVector c, DoubleVector v) Returns a DoubleVector that is equal to c - v.
protected static double	BaseFunction.subtractedMagnitude(DoubleVector c, DoubleVector v) Returns the magnitude of c as if v was added to the the vector.
protected static double	BaseFunction.subtractedMagnitudeSqrd(DoubleVector c, DoubleVector v) Returns the magnitude squared of c as if v was added to the vector.
protected void	BaseFunction.updateScores(int newCentroidIndex, int oldCentroidIndex, DoubleVector vector)
protected void	E1Function.updateScores(int newCentroidIndex, int oldCentroidIndex, DoubleVector vector)
protected void	G1Function.updateScores(int newCentroidIndex, int oldCentroidIndex, DoubleVector vector)

Uses of DoubleVector in edu.ucla.sspace.clustering.seeding

Methods in edu.ucla.sspace.clustering.seeding that return DoubleVector

Modifier and Type	Method and Description
DoubleVector[]	OrssSeed.chooseSeeds(int numCentroids, Matrix dataPoints) Returns an array of length numCentroids that contains centroids composed of either vectors from dataPoints or a linear combination of vectors from dataPoints.
DoubleVector[]	KMeansPlusPlusSeed.chooseSeeds(int numCentroids, Matrix dataPoints) Selects the best scattered numCentroids data points from dataPoints.
DoubleVector[]	GeneralizedOrssSeed.chooseSeeds(int k, Matrix dataPoints) Selects k rows of dataPoints to be seeds of a k-means instance.
DoubleVector[]	RandomSeed.chooseSeeds(int numCentroids, Matrix dataPoints) Returns an array of length numCentroids that contains centroids composed of either vectors from dataPoints or a linear combination of vectors from dataPoints.
DoubleVector[]	KMeansSeed.chooseSeeds(int numCentroids, Matrix dataPoints) Returns an array of length numCentroids that contains centroids composed of either vectors from dataPoints or a linear combination of vectors from dataPoints.
DoubleVector[]	GeneralizedOrssSeed.chooseSeeds(Matrix dataPoints, int k, int[] weights) Selects k rows of dataPoints, weighted by the specified amount, to be seeds of a k-means instance.

Uses of DoubleVector in edu.ucla.sspace.common

Methods in edu.ucla.sspace.common that return DoubleVector

Modifier and Type	Method and Description
DoubleVector	DocumentVectorBuilder.buildVector(BufferedReader document, DoubleVector documentVector) Represent a document as the summation of term Vectors.

Methods in edu.ucla.sspace.common with parameters of type DoubleVector

Modifier and Type	Method and Description
void	DocumentVectorBuilder.add(DoubleVector dest, Vector src, int factor)
DoubleVector	DocumentVectorBuilder.buildVector(BufferedReader document, DoubleVector documentVector) Represent a document as the summation of term Vectors.
static double	Similarity.correlation(DoubleVector arr1, DoubleVector arr2) Returns the Pearson product-moment correlation coefficient of the two Vectors.
static double	Similarity.correlation(IntegerVector arr1, DoubleVector arr2) Returns the Pearson product-moment correlation coefficient of the two Vectors.
static double	Similarity.cosineSimilarity(DoubleVector a, DoubleVector b) Returns the cosine similarity of the two DoubleVector.
static double	Similarity.euclideanDistance(DoubleVector a, DoubleVector b) Returns the euclidian distance between two DoubleVectors.
static double	Similarity.goodmanKruskalGamma(DoubleVector a, DoubleVector b) Computes the Goodman-Kruskal Gamma coefficient, which is preferrable to Kendall's τ and Spearman's ρ when there are many ties in the data.
static double	Similarity.jaccardIndex(DoubleVector a, DoubleVector b) Computes the Jaccard index comparing the similarity both DoubleVectors when viewed as sets of samples.
static double	Similarity.kendallsTau(DoubleVector a, DoubleVector b) Computes Kendall's tau of the values in the two vectors.
static double	Similarity.klDivergence(DoubleVector a, DoubleVector b) Computes the K-L Divergence of two probability distributions A and B where the vectors a and b correspond to n samples from each respective distribution.
static double	Similarity.linSimilarity(DoubleVector a, DoubleVector b) Computes the lin similarity measure, which is motivated by information theory priniciples.
static double	Similarity.spearmanRankCorrelationCoefficient(DoubleVector a, DoubleVector b) Computes the Spearman rank correlation coefficient for the two DoubleVectors.
static double	Similarity.tanimotoCoefficient(DoubleVector a, DoubleVector b) Returns the Tanimoto coefficient of the two DoubleVector instances.

Uses of DoubleVector in edu.ucla.sspace.fft

Methods in edu.ucla.sspace.fft with parameters of type DoubleVector

Modifier and Type	Method and Description
static void	FastFourierTransform.backtransform(DoubleVector data) Compute the (unnomalized) inverse FFT of data, leaving it in place.
static void	FastFourierTransform.bitreverse(DoubleVector data, int i0, int stride) This is the Gold rader bit-reversal algorithm
static void	FastFourierTransform.transform(DoubleVector data) Compute the Fast Fourier Transform of data leaving the result in data.

Uses of DoubleVector in edu.ucla.sspace.index

Classes in edu.ucla.sspace.index with type parameters of type DoubleVector

Modifier and Type	Interface and Description
interface	DoubleVectorGenerator<T extends DoubleVector> An interface for classes which will maintain and generate random DoubleVectors.

Methods in edu.ucla.sspace.index that return DoubleVector

Modifier and Type	Method and Description
DoubleVector	RandomOrthogonalVectorGenerator.generate()
DoubleVector	GaussianVectorGenerator.generate() Generate a new random vector using a guassian distribution for each value.

Constructors in edu.ucla.sspace.index with parameters of type DoubleVector

Constructor and Description
RandomOrthogonalVectorGenerator(int vectorLength, DoubleVector originalVector) Contructs this instance using the system properties and the provided intial vector.
RandomOrthogonalVectorGenerator(int vectorLength, Properties properties, DoubleVector originalVector) Constructs this instance using the provided properties and uses an initial vector.

Uses of DoubleVector in edu.ucla.sspace.lsa

Methods in edu.ucla.sspace.lsa that return DoubleVector

Modifier and Type	Method and Description
DoubleVector	LatentSemanticAnalysis.getDocumentVector(int documentNumber) Returns the semantics of the document as represented by a numeric vector.

Uses of DoubleVector in edu.ucla.sspace.matrix

Methods in edu.ucla.sspace.matrix with type parameters of type DoubleVector

Modifier and Type	Method and Description
static <T extends DoubleVector> Matrix	Matrices.asMatrix(List<T> vectors) Returns a Matrix from a list of DoubleVectors.

Methods in edu.ucla.sspace.matrix that return DoubleVector

Modifier and Type	Method and Description
DoubleVector	Matrix.getColumnVector(int column) Returns the column as a vector.
DoubleVector	ArrayMatrix.getColumnVector(int column) Returns the column as a vector.
DoubleVector	CellMaskedMatrix.getColumnVector(int column) Returns the column as a vector.
DoubleVector	TransposedMatrix.getColumnVector(int column) Returns the column as a vector.
DoubleVector	OnDiskMatrix.getColumnVector(int column) Returns the column as a vector.
DoubleVector	RowScaledMatrix.getColumnVector(int column) Returns the column as a vector.
DoubleVector	SynchronizedMatrix.getColumnVector(int column) Returns the column as a vector.
DoubleVector	RowMaskedMatrix.getColumnVector(int column) Returns the column as a vector.
DoubleVector	AtomicGrowingMatrix.getColumnVector(int column) Returns the column as a vector.
DoubleVector	SymmetricMatrix.getColumnVector(int column) Returns the column as a vector.
DoubleVector	AbstractMatrix.getColumnVector(int column) Returns the column as a vector.
DoubleVector	AtomicGrowingMatrix.getColumnVectorUnsafe(int column) Returns an immutable view of the columns's data as a non-atomic vector, which may present an inconsistent view of the data if this matrix is being concurrently modified.
DoubleVector	Matrix.getRowVector(int row) Returns a DoubleVector for an entire row.
DoubleVector	ArrayMatrix.getRowVector(int row) Returns a DoubleVector for an entire row.
DoubleVector	CellMaskedMatrix.getRowVector(int row) Returns a DoubleVector for an entire row.
DoubleVector	TransposedMatrix.getRowVector(int row) Returns a DoubleVector for an entire row.
DoubleVector	OnDiskMatrix.getRowVector(int row) Returns a DoubleVector for an entire row.
DoubleVector	RowScaledMatrix.getRowVector(int row) Returns a DoubleVector for an entire row.
DoubleVector	SynchronizedMatrix.getRowVector(int row) Returns a DoubleVector for an entire row.
DoubleVector	RowMaskedMatrix.getRowVector(int row) Returns a DoubleVector for an entire row.
DoubleVector	AtomicGrowingMatrix.getRowVector(int row) Returns a DoubleVector for an entire row.
DoubleVector	SymmetricMatrix.getRowVector(int row) Returns a DoubleVector for an entire row.
abstract DoubleVector	AbstractMatrix.getRowVector(int row) Returns a DoubleVector for an entire row.
DoubleVector	AtomicGrowingMatrix.getRowVectorUnsafe(int row) Returns an immutable view of the row's data as a non-atomic vector, which may present an inconsistent view of the data if this matrix is being concurrently modified.

Methods in edu.ucla.sspace.matrix with parameters of type DoubleVector

Modifier and Type	Method and Description
void	AtomicGrowingSparseHashMatrix.setColumn(int column, DoubleVector rowValues) Sets the values for the column of this Matrix using the provided DoubleVector.
void	Matrix.setColumn(int column, DoubleVector values) Sets the values for the column of this Matrix using the provided DoubleVector.
void	SynchronizedSparseMatrix.setColumn(int column, DoubleVector values) Sets the values for the column of this Matrix using the provided DoubleVector.
void	ArrayMatrix.setColumn(int column, DoubleVector values) Sets the values for the column of this Matrix using the provided DoubleVector.
void	CellMaskedMatrix.setColumn(int column, DoubleVector values) Sets the values for the column of this Matrix using the provided DoubleVector.
void	TransposedMatrix.setColumn(int column, DoubleVector values) Sets the values for the column of this Matrix using the provided DoubleVector.
void	SparseOnDiskMatrix.setColumn(int column, DoubleVector values) Sets the values for the column of this Matrix using the provided DoubleVector.
void	OnDiskMatrix.setColumn(int column, DoubleVector values) Sets the values for the column of this Matrix using the provided DoubleVector.
void	AtomicGrowingSparseMatrix.setColumn(int column, DoubleVector values) Sets the values for the column of this Matrix using the provided DoubleVector.
void	GrowingSparseMatrix.setColumn(int column, DoubleVector values) Sets the values for the column of this Matrix using the provided DoubleVector.
void	RowScaledMatrix.setColumn(int column, DoubleVector values) Sets the values for the column of this Matrix using the provided DoubleVector.
void	SynchronizedMatrix.setColumn(int column, DoubleVector values) Sets the values for the column of this Matrix using the provided DoubleVector.
void	DiagonalMatrix.setColumn(int column, DoubleVector vector) Sets the values for the column of this Matrix using the provided DoubleVector.
void	YaleSparseMatrix.setColumn(int column, DoubleVector values) Sets the values for the column of this Matrix using the provided DoubleVector.
void	RowMaskedMatrix.setColumn(int column, DoubleVector values) Sets the values for the column of this Matrix using the provided DoubleVector.
void	AtomicGrowingMatrix.setColumn(int column, DoubleVector values) Sets the values for the column of this Matrix using the provided DoubleVector.
void	AbstractMatrix.setColumn(int column, DoubleVector values) Sets the values for the column of this Matrix using the provided DoubleVector.
void	AtomicGrowingSparseHashMatrix.setRow(int row, DoubleVector colValues) Sets the values for the row of this Matrix using the provided DoubleVector.
void	Matrix.setRow(int row, DoubleVector values) Sets the values for the row of this Matrix using the provided DoubleVector.
void	SynchronizedSparseMatrix.setRow(int row, DoubleVector values) Sets the values for the row of this Matrix using the provided DoubleVector.
void	ArrayMatrix.setRow(int row, DoubleVector values) Sets the values for the row of this Matrix using the provided DoubleVector.
void	CellMaskedMatrix.setRow(int row, DoubleVector values) Sets the values for the row of this Matrix using the provided DoubleVector.
void	TransposedMatrix.setRow(int row, DoubleVector values) Sets the values for the row of this Matrix using the provided DoubleVector.
void	SparseOnDiskMatrix.setRow(int row, DoubleVector values) Sets the values for the row of this Matrix using the provided DoubleVector.
void	OnDiskMatrix.setRow(int row, DoubleVector values) Sets the values for the row of this Matrix using the provided DoubleVector.
void	AtomicGrowingSparseMatrix.setRow(int row, DoubleVector values) Sets the values for the row of this Matrix using the provided DoubleVector.
void	GrowingSparseMatrix.setRow(int row, DoubleVector columns) Sets the values for the row of this Matrix using the provided DoubleVector.
void	RowScaledMatrix.setRow(int row, DoubleVector values) Sets the values for the row of this Matrix using the provided DoubleVector.
void	SynchronizedMatrix.setRow(int row, DoubleVector values) Sets the values for the row of this Matrix using the provided DoubleVector.
void	DiagonalMatrix.setRow(int row, DoubleVector vector) Sets the values for the row of this Matrix using the provided DoubleVector.
void	YaleSparseMatrix.setRow(int row, DoubleVector values) Sets the values for the row of this Matrix using the provided DoubleVector.
void	RowMaskedMatrix.setRow(int row, DoubleVector values) Sets the values for the row of this Matrix using the provided DoubleVector.
void	AtomicGrowingMatrix.setRow(int row, DoubleVector values) Sets the values for the row of this Matrix using the provided DoubleVector.
void	AbstractMatrix.setRow(int row, DoubleVector values) Sets the values for the row of this Matrix using the provided DoubleVector.

Constructors in edu.ucla.sspace.matrix with parameters of type DoubleVector

Constructor and Description
RowScaledMatrix(Matrix matrix, DoubleVector v) Creates a RowScaledMatrix that provides scaled read only access to the provided Matrix instance.
RowScaledSparseMatrix(SparseMatrix matrix, DoubleVector v) Creates a RowScaledSparseMatrix that provides scaled read only access to the provided SparseMatrix instance.

Uses of DoubleVector in edu.ucla.sspace.purandare

Methods in edu.ucla.sspace.purandare that return DoubleVector

Modifier and Type	Method and Description
DoubleVector	PurandareFirstOrder.getVector(String word) Returns the semantic vector for the provided word.

Uses of DoubleVector in edu.ucla.sspace.similarity

Methods in edu.ucla.sspace.similarity with parameters of type DoubleVector

Modifier and Type	Method and Description
double	CosineSimilarity.sim(DoubleVector v1, DoubleVector v2) Returns the similarity between v1 and v2.
double	EuclideanSimilarity.sim(DoubleVector v1, DoubleVector v2) Returns the similarity between v1 and v2.
double	JaccardIndex.sim(DoubleVector v1, DoubleVector v2) Returns the similarity between v1 and v2.
double	TanimotoCoefficient.sim(DoubleVector v1, DoubleVector v2) Returns the similarity between v1 and v2.
double	DotProduct.sim(DoubleVector v1, DoubleVector v2) Returns the similarity between v1 and v2.
double	KLDivergence.sim(DoubleVector v1, DoubleVector v2) Returns the similarity between v1 and v2.
double	GaussianKernel.sim(DoubleVector v1, DoubleVector v2) Returns the similarity between v1 and v2.
double	LinSimilarity.sim(DoubleVector v1, DoubleVector v2) Returns the similarity between v1 and v2.
double	OneSimilarity.sim(DoubleVector v1, DoubleVector v2) Returns the similarity between v1 and v2.
double	SimilarityFunction.sim(DoubleVector v1, DoubleVector v2) Returns the similarity between v1 and v2.
double	KendallsTau.sim(DoubleVector v1, DoubleVector v2) Returns the similarity between v1 and v2.
double	AverageCommonFeatureRank.sim(DoubleVector v1, DoubleVector v2) Returns the similarity between v1 and v2.
double	PearsonCorrelation.sim(DoubleVector v1, DoubleVector v2) Returns the similarity between v1 and v2.
double	SpearmanRankCorrelation.sim(DoubleVector v1, DoubleVector v2) Returns the similarity between v1 and v2.
double	PolynomialKernel.sim(DoubleVector v1, DoubleVector v2) Returns the similarity between v1 and v2.

Uses of DoubleVector in edu.ucla.sspace.tools

Methods in edu.ucla.sspace.tools that return DoubleVector

Modifier and Type	Method and Description
DoubleVector	BasisMaker.OccurrenceCounter.getVector(String word) Returns the semantic vector for the provided word.
DoubleVector	DependencyBasisMaker.OccurrenceCounter.getVector(String word) Returns the semantic vector for the provided word.

Uses of DoubleVector in edu.ucla.sspace.util

Methods in edu.ucla.sspace.util that return DoubleVector

Modifier and Type	Method and Description
DoubleVector	SemanticSpaceMatrix.getRowVector(int row) Returns a DoubleVector for an entire row.

Methods in edu.ucla.sspace.util with parameters of type DoubleVector

Modifier and Type	Method and Description
void	SemanticSpaceMatrix.setColumn(int column, DoubleVector values) Sets the values for the column of this Matrix using the provided DoubleVector.
void	SemanticSpaceMatrix.setRow(int row, DoubleVector values) Sets the values for the row of this Matrix using the provided DoubleVector.

Uses of DoubleVector in edu.ucla.sspace.vector

Subinterfaces of DoubleVector in edu.ucla.sspace.vector

Modifier and Type	Interface and Description
interface	SparseDoubleVector An interface for sparse DoubleVector instances.

Classes in edu.ucla.sspace.vector that implement DoubleVector

Modifier and Type	Class and Description
class	AbstractDoubleVector An abstract base class that provides default implementations of common methods in DoubleVector.
class	AmortizedSparseVector An implementation of a sparse vector based on the Yale Sparse matrix format.
class	AtomicSparseVector A decorator of a Vector which provides atomic concurrent access to another Vector.
class	AtomicVector A decorator of a Vector which provides atomic concurrent access to another Vector.
class	CompactSparseVector A Vector instance that keeps only the non-zero values in memory, thereby saving space at the expense of time.
class	DenseDynamicMagnitudeVector A Vector where all values are held in memory.
class	DenseVector A Vector where all values are held in memory.
class	MaskedDoubleVectorView A decorator that masked view of a Vector through the use of a mapping from new column indices to original column indices.
class	MaskedSparseDoubleVectorView A decorator that masked view of a SparseVector through the use of a mapping from new column indices to original column indices.
class	ScaledDoubleVector A decorator for DoubleVectors that scales every value in a given DoubleVector by some non zero scale.
class	ScaledSparseDoubleVector A decorator for SparseDoubleVectors that scales every value in a given DoubleVector by some non zero scale.
class	SparseHashDoubleVector A SparseVector implementation backed by a Map.

Methods in edu.ucla.sspace.vector that return DoubleVector

Modifier and Type	Method and Description
static DoubleVector	VectorMath.add(DoubleVector vector1, DoubleVector vector2) Adds the second DoubleVector to the first DoubleVector and returns the result.
static DoubleVector	VectorMath.addUnmodified(DoubleVector vector1, DoubleVector vector2) Returns a new DoubleVector which is the summation of vector2 and vector1.
static DoubleVector	Vectors.asDouble(Vector v) Returns a view over the given Vector as a DoubleVector.
static DoubleVector	Vectors.asVector(double[] array) Returns a vector backed by the specified array.
static DoubleVector	Vectors.atomic(DoubleVector vector) Returns a thread-safe version of a DoubleVector that guarantees atomic access to all operations.
static DoubleVector	Vectors.copyOf(DoubleVector source) Creates a copy of a given DoubleVector with the same type as the original.
DoubleVector	ScaledDoubleVector.getBackingVector() Returns the vector whose values are scaled by this instance
DoubleVector	MaskedDoubleVectorView.getOriginalVector() Returns the original vector that this view is wrapping.
DoubleVector	AtomicVector.getVector() Returns the DoubleVector that backs this instance.
static DoubleVector	Vectors.immutable(DoubleVector vector) Returns an immutable view of the given DoubleVector.
static DoubleVector	VectorMath.multiply(DoubleVector left, DoubleVector right) Multiply the values in left and right and store the product in left.
static DoubleVector	VectorMath.multiplyUnmodified(DoubleVector left, DoubleVector right) Multiply the values in left and right and store the product in a new Vector.
static DoubleVector	Vectors.scaleByMagnitude(DoubleVector vector)
static DoubleVector	Vectors.scaleByMagnitude(SparseDoubleVector vector)
static DoubleVector	VectorMath.subtract(DoubleVector vector1, DoubleVector vector2) Subtracts the second DoubleVector from the first DoubleVector and returns the result.
static DoubleVector	Vectors.subview(DoubleVector vector, int offset, int length) Returns a subview for the given DoubleVector with a specified offset and length.
static DoubleVector	Vectors.synchronizedVector(DoubleVector vector) Returns a syncrhonized view of a given DoubleVector.

Methods in edu.ucla.sspace.vector with parameters of type DoubleVector

Modifier and Type	Method and Description
static DoubleVector	VectorMath.add(DoubleVector vector1, DoubleVector vector2) Adds the second DoubleVector to the first DoubleVector and returns the result.
static DoubleVector	VectorMath.addUnmodified(DoubleVector vector1, DoubleVector vector2) Returns a new DoubleVector which is the summation of vector2 and vector1.
static Vector	VectorMath.addWithScalars(DoubleVector vector1, double weight1, DoubleVector vector2, double weight2) Adds two DoubleVectors with some scalar weight for each DoubleVector.
static DoubleVector	Vectors.atomic(DoubleVector vector) Returns a thread-safe version of a DoubleVector that guarantees atomic access to all operations.
static DoubleVector	Vectors.copyOf(DoubleVector source) Creates a copy of a given DoubleVector with the same type as the original.
static double	VectorMath.dotProduct(DoubleVector a, DoubleVector b) Computes the dot product, aTb of the two vectors.
static boolean	Vectors.equals(DoubleVector v1, DoubleVector v2) Returns true if the two vectors are equal to one another.
static DoubleVector	Vectors.immutable(DoubleVector vector) Returns an immutable view of the given DoubleVector.
static DoubleVector	VectorMath.multiply(DoubleVector left, DoubleVector right) Multiply the values in left and right and store the product in left.
static DoubleVector	VectorMath.multiplyUnmodified(DoubleVector left, DoubleVector right) Multiply the values in left and right and store the product in a new Vector.
static DoubleVector	Vectors.scaleByMagnitude(DoubleVector vector)
static DoubleVector	VectorMath.subtract(DoubleVector vector1, DoubleVector vector2) Subtracts the second DoubleVector from the first DoubleVector and returns the result.
static DoubleVector	Vectors.subview(DoubleVector vector, int offset, int length) Returns a subview for the given DoubleVector with a specified offset and length.
static DoubleVector	Vectors.synchronizedVector(DoubleVector vector) Returns a syncrhonized view of a given DoubleVector.

Constructors in edu.ucla.sspace.vector with parameters of type DoubleVector

Constructor and Description
AtomicVector(DoubleVector v) Creates a new AtomicVector decorating an already existing Vector.
DenseDynamicMagnitudeVector(DoubleVector v) Create a DenseDynamicMagnitudeVector by copying the values from another Vector.
DenseVector(DoubleVector v) Create a DenseVector by copying the values from another Vector.
MaskedDoubleVectorView(DoubleVector v, int[] columnMask) Creates a new DoubleVector view of the data in the provided DoubleVector.
ScaledDoubleVector(DoubleVector vector, double scale) Creates a new ScaledDoubleVector that decorates a given DoubleVector by scaling each value in vector by scale.
SparseHashDoubleVector(DoubleVector values)