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fl::Agglomerate Class Reference

#include <cluster.h>

Inheritance diagram for fl::Agglomerate:

List of all members.

Public Methods
	Agglomerate (Comparison *comparison, float distanceLimit, int minClusters=1)
	Agglomerate (std::istream &stream)
	~Agglomerate ()
virtual void	run (const std::vector< Vector< float > > &data)
	Peform clustering on collection of points.
virtual int	classify (const Vector< float > &point)
	Determine the single best class of given point.
virtual Vector< float >	distribution (const Vector< float > &point)
	Return a probability distribution over the classes. Row number in the returned Vector corresponds to class number.
virtual int	classCount ()
	Returns the number of classes.
virtual Vector< float >	representative (int group)
	Return a representative member of group. "group" has same semantics as return value of classify (); we just can't use the word "class" because it is a keyword in C++. :).
virtual void	read (std::istream &stream)
virtual void	write (std::ostream &stream, bool withName=false)
Public Attributes
Comparison *	comparison
float	distanceLimit
	The largest distance permissible between two clusters.
int	minClusters
	The target number of clusters at convergence. Result will be no smaller than this unless there are fewer input data.
std::vector< ClusterAgglomerative * >	clusters

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Constructor & Destructor Documentation

Agglomerate::Agglomerate (  Comparison *    comparison, float    distanceLimit, int    minClusters = 1 )

Agglomerate::Agglomerate (  std::istream &    stream )

Agglomerate::~Agglomerate (    )

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Member Function Documentation

int Agglomerate::classCount (    )  [virtual]

Returns the number of classes. Implements fl::ClusterMethod.

int Agglomerate::classify (  const Vector< float > &    point )  [virtual]

Determine the single best class of given point. Implements fl::ClusterMethod.

Vector< float > Agglomerate::distribution (  const Vector< float > &    point )  [virtual]

Return a probability distribution over the classes. Row number in the returned Vector corresponds to class number. Implements fl::ClusterMethod.

void Agglomerate::read (  std::istream &    stream )  [virtual]

Reimplemented from fl::ClusterMethod.

Vector< float > Agglomerate::representative (  int    group )  [virtual]

Return a representative member of group. "group" has same semantics as return value of classify (); we just can't use the word "class" because it is a keyword in C++. :). Implements fl::ClusterMethod.

void Agglomerate::run (  const std::vector< Vector< float > > &    data )  [virtual]

Peform clustering on collection of points. Implements fl::ClusterMethod.

void Agglomerate::write (  std::ostream &    stream, bool    withName = false )  [virtual]

Reimplemented from fl::ClusterMethod.

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Member Data Documentation

std::vector<ClusterAgglomerative *> fl::Agglomerate::clusters

Comparison* fl::Agglomerate::comparison

float fl::Agglomerate::distanceLimit

The largest distance permissible between two clusters.

int fl::Agglomerate::minClusters

The target number of clusters at convergence. Result will be no smaller than this unless there are fewer input data.

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

• cluster.h
• Agglomerate.cc

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