Uses of Class
edu.ucla.sspace.common.Similarity.SimType

Packages that use Similarity.SimType

Package	Description
edu.ucla.sspace.clustering
edu.ucla.sspace.common
edu.ucla.sspace.evaluation
edu.ucla.sspace.matrix

Uses of Similarity.SimType in edu.ucla.sspace.clustering

Methods in edu.ucla.sspace.clustering with parameters of type Similarity.SimType

Modifier and Type	Method and Description
List<Merge>	HierarchicalAgglomerativeClustering.buildDendogram(Matrix m, HierarchicalAgglomerativeClustering.ClusterLinkage linkage, Similarity.SimType similarityFunction) Builds a dendrogram of the rows of similarity matrix by iteratelyve linking each row according to the linkage policy in a bottom up manner.
static int[]	HierarchicalAgglomerativeClustering.clusterRows(Matrix m, double clusterSimilarityThreshold, HierarchicalAgglomerativeClustering.ClusterLinkage linkage, Similarity.SimType similarityFunction) Clusters all rows in the matrix using the specified cluster similarity measure for comparison and threshold for when to stop clustering.
static int[]	HierarchicalAgglomerativeClustering.partitionRows(Matrix m, int numClusters, HierarchicalAgglomerativeClustering.ClusterLinkage linkage, Similarity.SimType similarityFunction) Clusters all rows in the matrix using the specified cluster similarity measure for comparison and stopping when the number of clusters is equal to the specified number.

Uses of Similarity.SimType in edu.ucla.sspace.common

Methods in edu.ucla.sspace.common that return Similarity.SimType

Modifier and Type	Method and Description
static Similarity.SimType	Similarity.SimType.valueOf(String name) Returns the enum constant of this type with the specified name.
static Similarity.SimType[]	Similarity.SimType.values() Returns an array containing the constants of this enum type, in the order they are declared.

Methods in edu.ucla.sspace.common with parameters of type Similarity.SimType

Modifier and Type	Method and Description
static Method	Similarity.getMethod(Similarity.SimType similarityType) Deprecated. The Similarity.getSimilarity(SimType,double[],double[]) method should be used instead. Returns the Method for getting the similarity of two double[] based on the specified similarity type.
SortedMultiMap<Double,String>	WordComparator.getMostSimilar(String word, SemanticSpace sspace, int numberOfSimilarWords, Similarity.SimType similarityType) Compares the provided word to all other words in the provided SemanticSpace and return the specified number of words that were most similar according to the specified similarity measure.
static double	Similarity.getSimilarity(Similarity.SimType similarityType, double[] a, double[] b) Calculates the similarity of the two vectors using the provided similarity measure.
static <T extends Vector> double	Similarity.getSimilarity(Similarity.SimType similarityType, T a, T b) Calculates the similarity of the two vectors using the provided similarity measure.
static SimilarityFunction	Similarity.getSimilarityFunction(Similarity.SimType similarityType)

Uses of Similarity.SimType in edu.ucla.sspace.evaluation

Methods in edu.ucla.sspace.evaluation with parameters of type Similarity.SimType

Modifier and Type	Method and Description
static WordChoiceReport	WordChoiceEvaluationRunner.evaluate(SemanticSpace sspace, WordChoiceEvaluation test, Similarity.SimType vectorComparisonType) Evaluates the performance of a given SemanticSpace on a given WordChoiceEvaluation using the provided similarity metric.
static WordSimilarityReport	WordSimilarityEvaluationRunner.evaluate(SemanticSpace sspace, WordSimilarityEvaluation test, Similarity.SimType vectorComparisonType) Evaluates the performance of a given SemanticSpace on a given WordSimilarityEvaluation using the provided similarity metric.

Uses of Similarity.SimType in edu.ucla.sspace.matrix

Methods in edu.ucla.sspace.matrix with parameters of type Similarity.SimType

Modifier and Type	Method and Description
SortedMultiMap<Double,Integer>	RowComparator.getMostSimilar(Matrix m, int row, int kNearestRows, Similarity.SimType similarityType) Compares the specified row to all other rows, returning the k-nearest rows according to the similarity metric.