Package org.openimaj.math.matrix.algorithm.pca

Interface Summary

Interface	Description
PrincipalComponentAnalysis.ComponentSelector	Interface for classes capable of selecting a subset of the PCA components

Class Summary

Class	Description
CovarPrincipalComponentAnalysis	Naive Principle Component Analysis performed by directly calculating the covariance matrix and then performing an Eigen decomposition.
PrincipalComponentAnalysis	Abstract base class for PCA implementations.
PrincipalComponentAnalysis.EnergyThresholdComponentSelector	PrincipalComponentAnalysis.ComponentSelector that selects a subset of the principal components such that all remaining components have a cumulative energy less than the given value.
PrincipalComponentAnalysis.NumberComponentSelector	PrincipalComponentAnalysis.ComponentSelector that selects the n-best components.
PrincipalComponentAnalysis.PercentageEnergyComponentSelector	PrincipalComponentAnalysis.ComponentSelector that selects a subset of the principal components such that all remaining components have a certain percentage cumulative energy of the total.
SvdPrincipalComponentAnalysis	Compute the PCA using an SVD without actually constructing the covariance matrix.
ThinSvdPrincipalComponentAnalysis	Compute the PCA using a thin SVD to extract the best-n principal components directly.