Uses of Package
de.lmu.ifi.dbs.elki.math.linearalgebra.pca

Packages that use de.lmu.ifi.dbs.elki.math.linearalgebra.pca

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

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

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

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

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

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

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

CovarianceMatrixBuilder
Abstract class with the task of computing a Covariance matrix to be used in PCA.

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.

FilteredEigenPairs
Encapsulates weak and strong eigenpairs that have been filtered out by an eigenpair filter.

PCAFilteredResult
Result class for a filtered PCA.

PCAResult
Result class for Principal Component Analysis with some convenience methods

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

PCAFilteredRunner
PCA runner that will do dimensionality reduction.