Uses of Class
org.ojalgo.data.cluster.FeatureBasedClusterer
Packages that use FeatureBasedClusterer
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Uses of FeatureBasedClusterer in org.ojalgo.data.cluster
Subclasses of FeatureBasedClusterer in org.ojalgo.data.clusterModifier and TypeClassDescription(package private) final class(package private) final class(package private) final class(package private) final classSpectral clustering forPoints using a fully connected RBF similarity graph and the symmetric normalised Laplacian.Fields in org.ojalgo.data.cluster declared as FeatureBasedClustererModifier and TypeFieldDescriptionprivate final FeatureBasedClustererSpectralClusterer.myClustererMethods in org.ojalgo.data.cluster that return FeatureBasedClustererModifier and TypeMethodDescriptionstatic FeatureBasedClustererFeatureBasedClusterer.newAutomatic()Returns a new automatic clusterer using squared Euclidean distance.static FeatureBasedClustererFeatureBasedClusterer.newAutomatic(DistanceMeasure measure) Returns a new automatic clusterer using the specified distance measure.static FeatureBasedClustererFeatureBasedClusterer.newGreedy(double threshold) Returns a new greedy, single-pass clusterer using squared Euclidean distance and the given threshold.static FeatureBasedClustererFeatureBasedClusterer.newGreedy(DistanceMeasure measure, double threshold) Returns a new greedy, single-pass clusterer using the supplied distance and threshold.static FeatureBasedClustererFeatureBasedClusterer.newKMeans(int k) Returns a new k-means–style clusterer using squared Euclidean distance and the given number of clusters.static FeatureBasedClustererFeatureBasedClusterer.newKMeans(DistanceMeasure measure, int k) Returns a new k-means–style clusterer using the supplied distance measure and number of clusters.static FeatureBasedClustererFeatureBasedClusterer.newSpectral(int k) Returns a new spectral clusterer using squared Euclidean distance and the given number of clusters.static FeatureBasedClustererFeatureBasedClusterer.newSpectral(DistanceMeasure measure, int k) Returns a new spectral clusterer using the supplied distance measure and number of clusters.