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prapi::clustering::ClusteringAlgorithm< T, I, C > Class Template Reference

#include <ClusteringAlgorithm.h>

Inheritance diagram for prapi::clustering::ClusteringAlgorithm< T, I, C >:

List of all members.

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Detailed Description

template<class T, class I = string, class C = int>
class prapi::clustering::ClusteringAlgorithm< T, I, C >

ClusteringAlgorithm is a common interface for different types of clustering schemes.

It also provides some useful methods for updating cluster representatives, refining the clustering result etc.

Public Methods
virtual List< Cluster< T, I, C > >	getClustering (const List< Sample< T, I, C > > &samples, const ProximityMeasure< T > &measure)=0
virtual void	updateRepresentative (Cluster< T, I, C > &cluster)
	Update the representative for a cluster.
void	merge (List< Cluster< T, I, C > > &clusters, ProximityMeasure< T > *measure, double threshold)
	Perform a merging procedure after the clusters have been formed.

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Member Function Documentation

template<class T, class I, class C> void prapi::clustering::ClusteringAlgorithm< T, I, C >::merge (  List< Cluster< T, I, C > > &    clusters, ProximityMeasure< T > *    measure, double    threshold )

Perform a merging procedure after the clusters have been formed. Parameters: clusters  the produces clusters threshold  a threshold for merging clusters that are "close" to each other

template<class T, class I, class C> void prapi::clustering::ClusteringAlgorithm< T, I, C >::updateRepresentative (  Cluster< T, I, C > &    cluster )  [virtual]

Update the representative for a cluster. The default implementation calculates the mean of each feature vector component.

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The documentation for this class was generated from the following file:

• ClusteringAlgorithm.h

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Documentation generated on 11.09.2003 with Doxygen.
The documentation is copyrighted material.
Copyright © Topi Mäenpää 2003. All rights reserved.