latest version v1.9 - last update 24 Nov 2005

lti::normModHubertStat Class Reference

Calculates the normalized version of the modified Hubert statistic The index is between -1 and 1. More...

#include <ltiClusteringValidity.h>

Inheritance diagram for lti::normModHubertStat:

[legend]Collaboration diagram for lti::normModHubertStat:

[legend]List of all members.

Public Member Functions
	normModHubertStat ()
	normModHubertStat (const normModHubertStat &other)
virtual	~normModHubertStat ()
normModHubertStat &	copy (const normModHubertStat &other)
normModHubertStat &	operator= (const normModHubertStat &other)
virtual const char *	getTypeName () const
virtual functor *	clone () const
virtual bool	apply (const std::vector< dmatrix > &clusteredData, double &index, const dmatrix &centroids) const

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Detailed Description

Calculates the normalized version of the modified Hubert statistic The index is between -1 and 1.

A value near 1 shows compact well separated clusters. When the same data set is tested with different parameters, e.a. with different number of clusters, the best possible clustering is shown by a sharp knee in this index. This validity measure is not defined, if the number of cluster is 1 or equal to the number of points

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Constructor & Destructor Documentation

lti::normModHubertStat::normModHubertStat (   )

standard contructor

lti::normModHubertStat::normModHubertStat (  const normModHubertStat &  other  )

standard contructor

virtual lti::normModHubertStat::~normModHubertStat (   )  [virtual]

destructor

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Member Function Documentation

virtual bool lti::normModHubertStat::apply (  const std::vector< dmatrix > &  clusteredData, double &  index, const dmatrix &  centroids )  const [virtual]

calculates the normalized modified Hubert Statistics of the clustered data. Parameters: clusteredData  std::vector<dmatrix> with the source data. index  the clustering validity result centroids  dmatrix with each row representing a centroid of the corresponding distribution in clusteredData Returns: true if apply successful or false otherwise. Implements lti::clusteringValidity.

virtual functor* lti::normModHubertStat::clone (   )  const [virtual]

# returns a pointer to a clone of this functor. Implements lti::functor.

normModHubertStat& lti::normModHubertStat::copy (  const normModHubertStat &  other  )

copy data of "other" functor. Parameters: other  the functor to be copied Returns: a reference to this functor object

virtual const char* lti::normModHubertStat::getTypeName (   )  const [virtual]

returns the name of this type Reimplemented from lti::clusteringValidity.

normModHubertStat& lti::normModHubertStat::operator= (  const normModHubertStat &  other  )

alias for copy member Parameters: other  the functor to be copied Returns: a reference to this functor object

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

• ltiClusteringValidity.h

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