org.openimaj.ml.clustering

Interface DistanceClusterer<CLUSTERS extends IndexClusters>

Type Parameters:

CLUSTERS -

All Superinterfaces:

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

All Known Implementing Classes:

DistanceDBSCAN

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

A DistanceClusterer clusters data that can be represented as a distance 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

Methods

Modifier and Type	Method and Description
CLUSTERS	clusterDistance(SparseMatrix dist)

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

cluster

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

performClustering

Method Detail

clusterDistance

CLUSTERS clusterDistance(SparseMatrix dist)

Parameters:

dist - the distance matrix

Returns:

the clusters