Package | Description |
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gov.sandia.cognition.learning.algorithm.pca |
Provides implementations of Principle Components Analysis (PCA).
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Modifier and Type | Method and Description |
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PrincipalComponentsAnalysisFunction |
PrincipalComponentsAnalysisFunction.clone() |
PrincipalComponentsAnalysisFunction |
AbstractPrincipalComponentsAnalysis.getResult() |
PrincipalComponentsAnalysisFunction |
GeneralizedHebbianAlgorithm.getResult() |
PrincipalComponentsAnalysisFunction |
PrincipalComponentsAnalysis.getResult()
Gets the VectorFunction that maps from the input space to the reduced
output space of "getNumComponents" dimensions.
|
PrincipalComponentsAnalysisFunction |
ThinSingularValueDecomposition.learn(java.util.Collection<Vector> data)
Creates a PrincipalComponentsAnalysisFunction based on the number of
components and the given data.
|
static PrincipalComponentsAnalysisFunction |
ThinSingularValueDecomposition.learn(java.util.Collection<Vector> data,
int numComponents)
Creates a PrincipalComponentsAnalysisFunction based on the number of
components and the given data.
|
Modifier and Type | Method and Description |
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protected void |
AbstractPrincipalComponentsAnalysis.setResult(PrincipalComponentsAnalysisFunction result)
Setter for result
|
protected void |
GeneralizedHebbianAlgorithm.setResult(PrincipalComponentsAnalysisFunction result)
Setter for result
|
Constructor and Description |
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AbstractPrincipalComponentsAnalysis(int numComponents,
PrincipalComponentsAnalysisFunction result)
Creates a new instance of AbstractPrincipalComponentsAnalysis
|
ThinSingularValueDecomposition(int numComponents,
PrincipalComponentsAnalysisFunction learned)
Creates a new instance of ThingSingularValueDecomposition
|