edu.berkeley.compbio.ml.cluster
Interface CentroidClusteringMethod<T extends Clusterable<T>>

All Superinterfaces:

ClusteringMethod<T>, ClusterList<T>

All Known Subinterfaces:

KohonenSOM<T>, PrototypeBasedCentroidClusteringMethod<T>

All Known Implementing Classes:

BatchTreeClusteringMethod, BayesianClustering, GrowableKmeansClustering, HierarchicalClusteringMethod, KmeansClustering, KohonenSOM2D, KohonenSOMnD, LabelDecomposingBayesianClustering, NearestNeighborClustering, UPGMA

public interface CentroidClusteringMethod<T extends Clusterable<T>>
extends ClusteringMethod<T>

A clustering method which represents each cluster as a point (the "centroid"), which must be generated from a prototype and which has various stats associated with it

Version:

$Id$

Author:

David Soergel

Method Summary

java.lang.String	clusteringStats()
void	computeClusterStdDevs(ClusterableIterator<T> theDataPointProvider)
java.lang.String	shortClusteringStats()
void	writeClusteringStatsToStream(java.io.OutputStream outf)

Methods inherited from interface edu.berkeley.compbio.ml.cluster.ClusteringMethod

bestLabel, test

Methods inherited from interface edu.berkeley.compbio.ml.cluster.ClusterList

getClusters

Method Detail

clusteringStats

java.lang.String clusteringStats()

computeClusterStdDevs

void computeClusterStdDevs(ClusterableIterator<T> theDataPointProvider)

shortClusteringStats

java.lang.String shortClusteringStats()

writeClusteringStatsToStream

void writeClusteringStatsToStream(java.io.OutputStream outf)