Uses of Class
gov.sandia.cognition.learning.data.feature.MultivariateDecorrelator

Packages that use MultivariateDecorrelator

Package	Description
gov.sandia.cognition.learning.data.feature	Provides data feature extractors.

Uses of MultivariateDecorrelator in gov.sandia.cognition.learning.data.feature

Methods in gov.sandia.cognition.learning.data.feature that return MultivariateDecorrelator

Modifier and Type	Method and Description
MultivariateDecorrelator	MultivariateDecorrelator.clone() Creates a new copy of this MultivariateDecorrelator.
MultivariateDecorrelator	MultivariateDecorrelator.FullCovarianceLearner.learn(java.util.Collection<? extends Vectorizable> values) Learns a MultivariateDecorrelator from the given values by computing the mean and covariance of the dimensions.
MultivariateDecorrelator	MultivariateDecorrelator.DiagonalCovarianceLearner.learn(java.util.Collection<? extends Vectorizable> values) Learns a MultivariateDecorrelator from the given values by computing the mean and variance for each dimension separately.
static MultivariateDecorrelator	MultivariateDecorrelator.learnDiagonalCovariance(java.util.Collection<? extends Vectorizable> values, double defaultCovariance) Learns a normalization based on a mean and covariance where the covariance matrix is diagonal.
static MultivariateDecorrelator	MultivariateDecorrelator.learnFullCovariance(java.util.Collection<? extends Vectorizable> values, double defaultCovariance) Learns a normalization based on a mean and full covariance matrix from the given data.

Constructors in gov.sandia.cognition.learning.data.feature with parameters of type MultivariateDecorrelator

Constructor and Description
MultivariateDecorrelator(MultivariateDecorrelator other) Copy constructor.