org.openimaj.ml.clustering

Interface SimilarityClusterer<CLUSTERS extends IndexClusters>

Type Parameters:

CLUSTERS -

All Superinterfaces:

Clusterer<SparseMatrix>, DataClusterer<SparseMatrix,CLUSTERS>, SparseMatrixClusterer<CLUSTERS>

All Known Implementing Classes:

CachedDoubleSpectralClustering, ContectedComponentSimilarityClusterer, DoubleSpectralClustering, SimilarityDBSCAN

public interface SimilarityClusterer<CLUSTERS extends IndexClusters>
extends SparseMatrixClusterer<CLUSTERS>

A SimilarityClusterer clusters data that can be represented as a similarity matrix. Specifically these clusterers only need to know (in some sense) how similar two things are and nothing else

Author:

Sina Samangooei (ss@ecs.soton.ac.uk)

Method Summary

Modifier and Type	Method and Description
CLUSTERS	clusterSimilarity(SparseMatrix sim)

Methods inherited from interface org.openimaj.ml.clustering.DataClusterer

cluster

Methods inherited from interface org.openimaj.experiment.evaluation.cluster.processor.Clusterer

performClustering

Method Detail

clusterSimilarity

CLUSTERS clusterSimilarity(SparseMatrix sim)

Parameters:

sim - the similarity matrix

Returns:

the clusters