| Package | Description |
|---|---|
| edu.ucla.sspace.common | |
| edu.ucla.sspace.matrix | |
| edu.ucla.sspace.matrix.factorization |
| Modifier and Type | Method and Description |
|---|---|
protected MatrixFile |
GenericTermDocumentVectorSpace.processSpace(Transform transform)
Processes the
GenericTermDocumentVectorSpace with the provided
Transform if it is not null as a MatrixFile. |
| Modifier and Type | Method and Description |
|---|---|
MatrixFile |
MinSimilarityAffinityMatrixCreator.calculate(Matrix input)
Computes the affinity matrix for the input matrix according to the
specified similarity metrics, returning the result as a file on disk.
|
MatrixFile |
AffinityMatrixCreator.calculate(Matrix input)
Computes the affinity matrix for the input matrix according to the
specified similarity metrics, returning the result as a file on disk.
|
MatrixFile |
NearestNeighborAffinityMatrixCreator.calculate(Matrix input)
Computes the affinity matrix for the input matrix according to the
specified similarity metrics, returning the result as a file on disk.
|
MatrixFile |
MinSimilarityAffinityMatrixCreator.calculate(MatrixFile input)
Computes the affinity matrix for the input matrix according to the
specified similarity metrics, returning the result as a file on disk.
|
MatrixFile |
AffinityMatrixCreator.calculate(MatrixFile input)
Computes the affinity matrix for the input matrix according to the
specified similarity metrics, returning the result as a file on disk.
|
MatrixFile |
NearestNeighborAffinityMatrixCreator.calculate(MatrixFile input)
Computes the affinity matrix for the input matrix according to the
specified similarity metrics, returning the result as a file on disk.
|
MatrixFile |
MinSimilarityAffinityMatrixCreator.calculate(MatrixFile input,
boolean useColumns)
Computes the affinity matrix for the input matrix according to the
specified similarity metrics, optionally treating the columns as data
points, and returning the result as a file on disk.
|
MatrixFile |
AffinityMatrixCreator.calculate(MatrixFile input,
boolean useColumns)
Computes the affinity matrix for the input matrix according to the
specified similarity metrics, optionally treating the columns as data
points, and returning the result as a file on disk.
|
MatrixFile |
NearestNeighborAffinityMatrixCreator.calculate(MatrixFile input,
boolean useColumns)
Computes the affinity matrix for the input matrix according to the
specified similarity metrics, optionally treating the columns as data
points, and returning the result as a file on disk.
|
MatrixFile |
ClutoSparseMatrixBuilder.getMatrixFile() |
MatrixFile |
SvdlibcSparseBinaryMatrixBuilder.getMatrixFile() |
MatrixFile |
MatrixBuilder.getMatrixFile() |
MatrixFile |
MatlabSparseMatrixBuilder.getMatrixFile() |
MatrixFile |
ClutoDenseMatrixBuilder.getMatrixFile() |
static MatrixFile |
LocalityPreservingProjection.project(MatrixFile inputMatrix,
MatrixFile affinityMatrix,
int dimensions)
Projects the rows of the input matrix into a lower dimensional subspace
using the Locality Preserving Projection (LPP) algorithm and the affinity
matrix as a guide to locality.
|
| Modifier and Type | Method and Description |
|---|---|
MatrixFile |
MinSimilarityAffinityMatrixCreator.calculate(MatrixFile input)
Computes the affinity matrix for the input matrix according to the
specified similarity metrics, returning the result as a file on disk.
|
MatrixFile |
AffinityMatrixCreator.calculate(MatrixFile input)
Computes the affinity matrix for the input matrix according to the
specified similarity metrics, returning the result as a file on disk.
|
MatrixFile |
NearestNeighborAffinityMatrixCreator.calculate(MatrixFile input)
Computes the affinity matrix for the input matrix according to the
specified similarity metrics, returning the result as a file on disk.
|
MatrixFile |
MinSimilarityAffinityMatrixCreator.calculate(MatrixFile input,
boolean useColumns)
Computes the affinity matrix for the input matrix according to the
specified similarity metrics, optionally treating the columns as data
points, and returning the result as a file on disk.
|
MatrixFile |
AffinityMatrixCreator.calculate(MatrixFile input,
boolean useColumns)
Computes the affinity matrix for the input matrix according to the
specified similarity metrics, optionally treating the columns as data
points, and returning the result as a file on disk.
|
MatrixFile |
NearestNeighborAffinityMatrixCreator.calculate(MatrixFile input,
boolean useColumns)
Computes the affinity matrix for the input matrix according to the
specified similarity metrics, optionally treating the columns as data
points, and returning the result as a file on disk.
|
void |
MatrixFactorization.factorize(MatrixFile m,
int numDimensions)
Factorizes the
MatrixFile m. |
static MatrixFile |
LocalityPreservingProjection.project(MatrixFile inputMatrix,
MatrixFile affinityMatrix,
int dimensions)
Projects the rows of the input matrix into a lower dimensional subspace
using the Locality Preserving Projection (LPP) algorithm and the affinity
matrix as a guide to locality.
|
static Matrix |
LocalityPreservingProjection.project(Matrix m,
MatrixFile affinityMatrix,
int dimensions)
Projects the rows of the input matrix into a lower dimensional subspace
using the Locality Preserving Projection (LPP) algorithm and the affinity
matrix as a guide to locality.
|
| Modifier and Type | Method and Description |
|---|---|
void |
NonNegativeMatrixFactorizationOPL.factorize(MatrixFile mFile,
int numDimensions)
Factorizes the
MatrixFile m. |
void |
SingularValueDecompositionMatlab.factorize(MatrixFile mfile,
int dimensions) |
void |
NonNegativeMatrixFactorizationMultiplicative.factorize(MatrixFile mFile,
int numDimensions)
Factorizes the
MatrixFile m. |
void |
SingularValueDecompositionOctave.factorize(MatrixFile mfile,
int dimensions) |
void |
SingularValueDecompositionLibC.factorize(MatrixFile mFile,
int dimensions)
Factorizes the
MatrixFile m. |
void |
SingularValueDecompositionLibJ.factorize(MatrixFile mFile,
int dimensions)
Factorizes the
MatrixFile m. |
Copyright © 2012. All Rights Reserved.