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

#include <BSAS.h>

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

prapi::clustering::ClusteringAlgorithm< T, I, C > prapi::clustering::MBSAS< T, I, C > List of all members.

Detailed Description

template<class T, class I, class C>
class prapi::clustering::BSAS< T, I, C >

Basic Sequential Algorithmic Scheme.

Public Methods

 BSAS (int clusters, double threshold)
List< Cluster< T, I, C > > getClustering (const List< Sample< T, I, C > > &samples, const ProximityMeasure< T > &measure)
 @complexity O(N), where N is the number of samples in samples

void setThreshold (double threshold)
double getThreshold (void) const
double & threshold (void)
void setClusters (int clusters)
int getClusters (void) const
int & clusters (void)

Protected Attributes

int _iClusters
double _dThreshold

The documentation for this class was generated from the following file:
Documentation generated on 11.09.2003 with Doxygen.
The documentation is copyrighted material.
Copyright © Topi Mäenpää 2003. All rights reserved.