Uses of Interface
org.openimaj.math.statistics.normalisation.Normaliser

Packages that use Normaliser

Package	Description
org.openimaj.math.matrix.algorithm.whitening
org.openimaj.math.statistics.normalisation

Uses of Normaliser in org.openimaj.math.matrix.algorithm.whitening

Fields in org.openimaj.math.matrix.algorithm.whitening declared as Normaliser

Modifier and Type	Field and Description
protected Normaliser	PCAWhitening.ns

Constructors in org.openimaj.math.matrix.algorithm.whitening with parameters of type Normaliser

Constructor and Description
PCAWhitening(double eps, Normaliser ns) Construct with the given variance regularization parameter and data normalisation strategy.
PCAWhitening(double eps, Normaliser ns, int ndims) Construct with the given variance regularization parameter, data normalisation strategy and target dimensionality.
ZCAWhitening(double eps, Normaliser ns) Construct with the given variance regularization parameter and data normalisation strategy.

Uses of Normaliser in org.openimaj.math.statistics.normalisation

Subinterfaces of Normaliser in org.openimaj.math.statistics.normalisation

Modifier and Type	Interface and Description
interface	Denormaliser Interface for objects that con both normalise and denormalise data.
interface	TrainableNormaliser Interface for Normalisers that need to be pre-trained in order to compute relevant statistics to perform the actual normalisation operation.

Classes in org.openimaj.math.statistics.normalisation that implement Normaliser

Modifier and Type	Class and Description
class	PerExampleMeanCenter Subtract the mean of each example vector from itself to normalise the vector.
class	PerExampleMeanCenterVar Subtract the mean of each example vector from itself and divide by the standard deviation to normalise the vector such that it has unit variance.
class	ZScore z-score normalisation (standardisation).