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

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

Package	Description
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.algorithm.clustering.gdbscan	Generalized DBSCAN Generalized DBSCAN is an abstraction of the original DBSCAN idea, that allows the use of arbitrary "neighborhood" and "core point" predicates.
de.lmu.ifi.dbs.elki.algorithm.outlier	Outlier detection algorithms
de.lmu.ifi.dbs.elki.data.model	Cluster models classes for various algorithms
de.lmu.ifi.dbs.elki.index.preprocessed.localpca	Index using a preprocessed local PCA
de.lmu.ifi.dbs.elki.math.linearalgebra.pca	Principal Component Analysis (PCA) and Eigenvector processing

Classes in de.lmu.ifi.dbs.elki.math.linearalgebra.pca used by de.lmu.ifi.dbs.elki.algorithm

Class and Description
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.algorithm.clustering.correlation

Class and Description
PCAFilteredResult Result class for a filtered PCA.
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.algorithm.clustering.gdbscan

Class and Description
PCAFilteredResult Result class for a filtered PCA.
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.algorithm.outlier

Class and Description
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

Class and Description
PCAFilteredResult Result class for a filtered PCA.

Classes in de.lmu.ifi.dbs.elki.math.linearalgebra.pca used by de.lmu.ifi.dbs.elki.index.preprocessed.localpca

Class and Description
PCAFilteredResult Result class for a filtered PCA.
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.math.linearalgebra.pca

Class and Description
AutotuningPCA Performs a self-tuning local PCA based on the covariance matrices of given objects.
CovarianceMatrixBuilder Interface for computing covariance matrixes on a data set.
EigenPair Helper class which encapsulates an eigenvector and its corresponding eigenvalue.
PCAResult Result class for Principal Component Analysis with some convenience methods
PCARunner Class to run PCA on given data.
PCARunner.Parameterizer Parameterization class.
RANSACCovarianceMatrixBuilder RANSAC based approach to a more robust covariance matrix computation.
WeightedCovarianceMatrixBuilder CovarianceMatrixBuilder with weights.