Uses of Package
de.lmu.ifi.dbs.elki.varianceanalysis

Packages that use de.lmu.ifi.dbs.elki.varianceanalysis

de.lmu.ifi.dbs.elki.algorithm	Package to collect algorithms suitable as a task for the KDDTask main routine.
de.lmu.ifi.dbs.elki.algorithm.result.clustering	Package to collect result classes for the results of clustering algorithms.
de.lmu.ifi.dbs.elki.database	Package collects variants of databases and related classes.
de.lmu.ifi.dbs.elki.distance.distancefunction	Package collects distance functions.
de.lmu.ifi.dbs.elki.varianceanalysis	Classes for analysis of variance by different methods.

Classes in de.lmu.ifi.dbs.elki.varianceanalysis used by de.lmu.ifi.dbs.elki.algorithm

LinearLocalPCA
Performs a linear local PCA based on the covariance matrices of given objects.

Classes in de.lmu.ifi.dbs.elki.varianceanalysis used by de.lmu.ifi.dbs.elki.algorithm.result.clustering

LocalPCA
LocalPCA is a super calss for PCA-algorithms considering only a local neighborhood.

Classes in de.lmu.ifi.dbs.elki.varianceanalysis used by de.lmu.ifi.dbs.elki.database

LocalPCA
LocalPCA is a super calss for PCA-algorithms considering only a local neighborhood.

Classes in de.lmu.ifi.dbs.elki.varianceanalysis used by de.lmu.ifi.dbs.elki.distance.distancefunction

LocalPCA
LocalPCA is a super calss for PCA-algorithms considering only a local neighborhood.

Classes in de.lmu.ifi.dbs.elki.varianceanalysis used by de.lmu.ifi.dbs.elki.varianceanalysis

AbstractPCA
Abstract super class for pca algorithms.

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 stromg eigenpairs that have been filtered out by an eigenpair filter.

LocalPCA
LocalPCA is a super calss for PCA-algorithms considering only a local neighborhood.

PCA
A PCA is a principal component analysis that belongs to an object stored in a database.