org.openimaj.ml.clustering.dbscan

Class DistanceDBSCAN

java.lang.Object

org.openimaj.ml.clustering.dbscan.DBSCAN

org.openimaj.ml.clustering.dbscan.SparseMatrixDBSCAN

org.openimaj.ml.clustering.dbscan.DistanceDBSCAN

All Implemented Interfaces:

Clusterer<SparseMatrix>, DataClusterer<SparseMatrix,DoubleDBSCANClusters>, DistanceClusterer<DoubleDBSCANClusters>, SparseMatrixClusterer<DoubleDBSCANClusters>

public class DistanceDBSCAN
extends SparseMatrixDBSCAN
implements DistanceClusterer<DoubleDBSCANClusters>

DBSCAN using a SparseMatrix of distances

Author:

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

Nested Class Summary

Nested classes/interfaces inherited from class org.openimaj.ml.clustering.dbscan.DBSCAN

DBSCAN.State

Field Summary

Fields inherited from class org.openimaj.ml.clustering.dbscan.DBSCAN

noiseAsClusters

Constructor Summary

Constructors

Constructor and Description
DistanceDBSCAN(double eps, int minPts)

Method Summary

Modifier and Type	Method and Description
DoubleDBSCANClusters	cluster(SparseMatrix data)
DoubleDBSCANClusters	clusterDistance(SparseMatrix data)

Methods inherited from class org.openimaj.ml.clustering.dbscan.SparseMatrixDBSCAN

getEps, performClustering, setEps, toString

Methods inherited from class org.openimaj.ml.clustering.dbscan.DBSCAN

setNoiseAsClusters

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

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

performClustering

Constructor Detail

DistanceDBSCAN

public DistanceDBSCAN(double eps,
                      int minPts)

Parameters:

eps -

minPts -

Method Detail

cluster

public DoubleDBSCANClusters cluster(SparseMatrix data)

Specified by:

cluster in interface DataClusterer<SparseMatrix,DoubleDBSCANClusters>

Parameters:

data - the data to be clustered

Returns:

the clusters produced

clusterDistance

public DoubleDBSCANClusters clusterDistance(SparseMatrix data)

Specified by:

clusterDistance in interface DistanceClusterer<DoubleDBSCANClusters>

Parameters:

data - the distance matrix

Returns:

the clusters