org.openimaj.ml.clustering

Interface SpatialClusters<DATATYPE>

Type Parameters:

DATATYPE - the primitive array datatype which represents a centroid of this cluster.

All Superinterfaces:

Clusters, Readable, ReadableASCII, ReadableBinary, ReadWriteable, Writeable, WriteableASCII, WriteableBinary

All Known Implementing Classes:

ByteCentroidsResult, ByteKMeans.Result, ClusterLimitedIntRAC, DoubleCentroidsResult, DoubleDBSCANClusters, DoubleKMeans.Result, FeatureVectorCentroidsResult, FeatureVectorKMeans.Result, FloatCentroidsResult, FloatKMeans.Result, HierarchicalByteKMeansResult, HierarchicalDoubleKMeansResult, HierarchicalFloatKMeansResult, HierarchicalIntKMeansResult, HierarchicalLongKMeansResult, HierarchicalShortKMeansResult, IntCentroidsResult, IntKMeans.Result, IntRAC, IntRandomForest, KDTreeClusters, LongCentroidsResult, LongKMeans.Result, ShortCentroidsResult, ShortKMeans.Result, SphericalKMeansResult

public interface SpatialClusters<DATATYPE>
extends Clusters

Interface to describe objects that are the result of the clustering performed by a SpatialClusterer.

Author:

Jonathon Hare (jsh2@ecs.soton.ac.uk)

Field Summary

Fields inherited from interface org.openimaj.ml.clustering.Clusters

CLUSTER_HEADER

Method Summary

Modifier and Type	Method and Description
HardAssigner<DATATYPE,?,?>	defaultHardAssigner() Get the default hard assigner for this clusterer.
int	numClusters() Get the number of clusters.
int	numDimensions() Get the data dimensionality

Methods inherited from interface org.openimaj.io.ReadableASCII

asciiHeader, readASCII

Methods inherited from interface org.openimaj.io.ReadableBinary

binaryHeader, readBinary

Methods inherited from interface org.openimaj.io.WriteableASCII

asciiHeader, writeASCII

Methods inherited from interface org.openimaj.io.WriteableBinary

binaryHeader, writeBinary

Method Detail

numDimensions

int numDimensions()

Get the data dimensionality

Returns:

the data dimensionality.

numClusters

int numClusters()

Get the number of clusters.

Returns:

number of clusters.

defaultHardAssigner

HardAssigner<DATATYPE,?,?> defaultHardAssigner()

Get the default hard assigner for this clusterer. This method is potentially expensive, so callers should only call it once, and hold on to the result (and reuse it).

Returns:

a hard assigner.