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
Abstract class with the task of computing a Covariance matrix to be used in PCA.
|
class |
RANSACCovarianceMatrixBuilder
RANSAC based approach to a more robust covariance matrix computation.
|
class |
StandardCovarianceMatrixBuilder
Class for building a "traditional" covariance matrix.
|
class |
WeightedCovarianceMatrixBuilder
CovarianceMatrixBuilder with weights. |
Modifier and Type | Field and Description |
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protected CovarianceMatrixBuilder |
PCARunner.covarianceMatrixBuilder
The covariance computation class.
|
protected CovarianceMatrixBuilder |
PCARunner.Parameterizer.covarianceMatrixBuilder
The covariance computation class.
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Modifier and Type | Method and Description |
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CovarianceMatrixBuilder |
PCARunner.getCovarianceMatrixBuilder()
Get covariance matrix builder.
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Modifier and Type | Method and Description |
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void |
PCARunner.setCovarianceMatrixBuilder(CovarianceMatrixBuilder covarianceBuilder)
Set covariance matrix builder.
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Constructor and Description |
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PCAFilteredAutotuningRunner(CovarianceMatrixBuilder covarianceMatrixBuilder,
EigenPairFilter eigenPairFilter,
double big,
double small)
Constructor.
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PCAFilteredRunner(CovarianceMatrixBuilder covarianceMatrixBuilder,
EigenPairFilter eigenPairFilter,
double big,
double small)
Constructor.
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PCARunner(CovarianceMatrixBuilder covarianceMatrixBuilder)
Constructor.
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Copyright © 2015 ELKI Development Team, Lehr- und Forschungseinheit für Datenbanksysteme, Ludwig-Maximilians-Universität München. License information.