Module ojalgo

Package org.ojalgo.data.cluster

Interface Summary

Interface	Description
ClusteringAlgorithm<T>	Strategy interface for clustering algorithms.

Class Summary

Class	Description
AutomaticClusterer
FeatureBasedClusterer	Facade for clustering objects represented by float feature vectors.
GeneralisedKMeans<T>	Contains the outline of the k-means algorithm, but designed for customisation.
GreedyClusterer
GreedyClustering<T>	Greedy clustering algorithm.
KMeansClusterer
Point	Immutable coordinate point used by the clustering utilities.
Point.Factory	Simple factory that generates consecutive ids and ensures consistent dimensionality.
PointDistanceCache
RandomClustering<T>	Randomly assigns each item to one of k clusters.
SpectralClusterer	Spectral clustering for Points using a fully connected RBF similarity graph and the symmetric normalised Laplacian.