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Packages that use de.lmu.ifi.dbs.elki.math.linearalgebra.pca | |
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de.lmu.ifi.dbs.elki.algorithm | Algorithms suitable as a task for the KDDTask main routine. |
de.lmu.ifi.dbs.elki.algorithm.clustering.correlation | Correlation clustering algorithms |
de.lmu.ifi.dbs.elki.data.model | Cluster models classes for various algorithms. |
de.lmu.ifi.dbs.elki.database | ELKI database layer - loading, storing, indexing and accessing data |
de.lmu.ifi.dbs.elki.distance.distancefunction.correlation | Distance functions using correlations. |
de.lmu.ifi.dbs.elki.distance.distancefunction.subspace | Distance functions based on subspaces. |
de.lmu.ifi.dbs.elki.math.linearalgebra.pca | Principal Component Analysis (PCA) and Eigenvector processing. |
de.lmu.ifi.dbs.elki.preprocessing | Preprocessors used for data preparation in a first step of various algorithms or distance and similarity measures. |
Classes in de.lmu.ifi.dbs.elki.math.linearalgebra.pca used by de.lmu.ifi.dbs.elki.algorithm | |
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PCAFilteredRunner
PCA runner that will do dimensionality reduction. |
Classes in de.lmu.ifi.dbs.elki.math.linearalgebra.pca used by de.lmu.ifi.dbs.elki.algorithm.clustering.correlation | |
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PCARunner
Class to run PCA on given data. |
Classes in de.lmu.ifi.dbs.elki.math.linearalgebra.pca used by de.lmu.ifi.dbs.elki.data.model | |
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PCAFilteredResult
Result class for a filtered PCA. |
Classes in de.lmu.ifi.dbs.elki.math.linearalgebra.pca used by de.lmu.ifi.dbs.elki.database | |
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PCAFilteredResult
Result class for a filtered PCA. |
Classes in de.lmu.ifi.dbs.elki.math.linearalgebra.pca used by de.lmu.ifi.dbs.elki.distance.distancefunction.correlation | |
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PCAFilteredResult
Result class for a filtered PCA. |
Classes in de.lmu.ifi.dbs.elki.math.linearalgebra.pca used by de.lmu.ifi.dbs.elki.distance.distancefunction.subspace | |
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PCAFilteredResult
Result class for a filtered PCA. |
Classes in de.lmu.ifi.dbs.elki.math.linearalgebra.pca used by de.lmu.ifi.dbs.elki.math.linearalgebra.pca | |
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CovarianceMatrixBuilder
Abstract class with the task of computing a Covariance matrix to be used in PCA. |
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EigenPairFilter
The eigenpair filter is used to filter eigenpairs (i.e. eigenvectors and their corresponding eigenvalues) which are a result of a Variance Analysis Algorithm, e.g. |
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FilteredEigenPairs
Encapsulates weak and strong eigenpairs that have been filtered out by an eigenpair filter. |
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PCAFilteredResult
Result class for a filtered PCA. |
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PCAResult
Result class for Principal Component Analysis with some convenience methods |
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PCARunner
Class to run PCA on given data. |
Classes in de.lmu.ifi.dbs.elki.math.linearalgebra.pca used by de.lmu.ifi.dbs.elki.preprocessing | |
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PCAFilteredRunner
PCA runner that will do dimensionality reduction. |
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