Uses of Class
org.ojalgo.data.cluster.FeatureBasedClusterer

Packages that use FeatureBasedClusterer

Package	Description
org.ojalgo.data.cluster

Uses of FeatureBasedClusterer in org.ojalgo.data.cluster

Subclasses of FeatureBasedClusterer in org.ojalgo.data.cluster

Modifier and Type	Class	Description
(package private) final class	AutomaticClusterer
(package private) final class	GreedyClusterer
(package private) final class	KMeansClusterer
(package private) final class	SpectralClusterer	Spectral clustering for Points using a fully connected RBF similarity graph and the symmetric normalised Laplacian.

Fields in org.ojalgo.data.cluster declared as FeatureBasedClusterer

Modifier and Type	Field	Description
private final FeatureBasedClusterer	SpectralClusterer.myClusterer

Methods in org.ojalgo.data.cluster that return FeatureBasedClusterer

Modifier and Type	Method	Description
static FeatureBasedClusterer	FeatureBasedClusterer.newAutomatic()	Returns a new automatic clusterer using squared Euclidean distance.
static FeatureBasedClusterer	FeatureBasedClusterer.newAutomatic(DistanceMeasure measure)	Returns a new automatic clusterer using the specified distance measure.
static FeatureBasedClusterer	FeatureBasedClusterer.newGreedy(double threshold)	Returns a new greedy, single-pass clusterer using squared Euclidean distance and the given threshold.
static FeatureBasedClusterer	FeatureBasedClusterer.newGreedy(DistanceMeasure measure, double threshold)	Returns a new greedy, single-pass clusterer using the supplied distance and threshold.
static FeatureBasedClusterer	FeatureBasedClusterer.newKMeans(int k)	Returns a new k-means–style clusterer using squared Euclidean distance and the given number of clusters.
static FeatureBasedClusterer	FeatureBasedClusterer.newKMeans(DistanceMeasure measure, int k)	Returns a new k-means–style clusterer using the supplied distance measure and number of clusters.
static FeatureBasedClusterer	FeatureBasedClusterer.newSpectral(int k)	Returns a new spectral clusterer using squared Euclidean distance and the given number of clusters.
static FeatureBasedClusterer	FeatureBasedClusterer.newSpectral(DistanceMeasure measure, int k)	Returns a new spectral clusterer using the supplied distance measure and number of clusters.