Package | Description |
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de.lmu.ifi.dbs.elki.math.linearalgebra.pca |
Principal Component Analysis (PCA) and Eigenvector processing.
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Modifier and Type | Class and Description |
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class |
AbstractCovarianceMatrixBuilder<V extends NumberVector<?>>
Abstract class with the task of computing a Covariance matrix to be used in PCA.
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class |
RANSACCovarianceMatrixBuilder<V extends NumberVector<?>>
RANSAC based approach to a more robust covariance matrix computation.
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class |
StandardCovarianceMatrixBuilder<V extends NumberVector<?>>
Class for building a "traditional" covariance matrix.
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class |
WeightedCovarianceMatrixBuilder<V extends NumberVector<?>>
CovarianceMatrixBuilder with weights. |
Modifier and Type | Field and Description |
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protected CovarianceMatrixBuilder<V> |
PCARunner.covarianceMatrixBuilder
The covariance computation class.
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protected CovarianceMatrixBuilder<V> |
PCARunner.Parameterizer.covarianceMatrixBuilder
The covariance computation class.
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Modifier and Type | Method and Description |
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CovarianceMatrixBuilder<V> |
PCARunner.getCovarianceMatrixBuilder()
Get covariance matrix builder.
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Modifier and Type | Method and Description |
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void |
PCARunner.setCovarianceMatrixBuilder(CovarianceMatrixBuilder<V> covarianceBuilder)
Set covariance matrix builder.
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Constructor and Description |
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PCAFilteredAutotuningRunner(CovarianceMatrixBuilder<V> covarianceMatrixBuilder,
EigenPairFilter eigenPairFilter,
double big,
double small)
Constructor.
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PCAFilteredRunner(CovarianceMatrixBuilder<V> covarianceMatrixBuilder,
EigenPairFilter eigenPairFilter,
double big,
double small)
Constructor.
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PCARunner(CovarianceMatrixBuilder<V> covarianceMatrixBuilder)
Constructor.
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