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) class`	`AutomaticClusterer`
`(package private) class`	`GreedyClusterer`
`(package private) class`	`KMeansClusterer`
`(package private) class`	`SpectralClusterer`	Spectral clustering for `Point`s 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 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.