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fl::ClusterGauss Class Reference

#include <cluster.h>

List of all members.

Public Methods
	ClusterGauss (Vector< float > &center, float alpha=1.0)
	ClusterGauss (Vector< float > &center, Matrix< float > &covariance, float alpha=1.0)
	ClusterGauss (std::istream &stream)
	Construct from stream.
	~ClusterGauss ()
void	prepareInverse ()
	When covariance is changed, update cached information necessary to compute Mahalanobis distance.
float	probability (const Vector< float > &point, float *scale=NULL, float *minScale=NULL)
	The probability of being in the cluster, which is simply the Gaussian of the distance from the center. Result is multiplied by exp (scale) if minScale == NULL; otherwise scale and minScale are updated, and result is unscaled.
void	read (std::istream &stream)
void	write (std::ostream &stream)
Public Attributes
float	alpha
Vector< float >	center
Matrix< float >	covariance
Matrix< float >	eigenvectors
Vector< float >	eigenvalues
Matrix< float >	eigenverse
float	det
	preprocessed multiplier that goes in front of probability expression. Includes determinant of the covariance matrix.

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Constructor & Destructor Documentation

ClusterGauss::ClusterGauss (  Vector< float > &    center, float    alpha = 1.0 )

ClusterGauss::ClusterGauss (  Vector< float > &    center, Matrix< float > &    covariance, float    alpha = 1.0 )

ClusterGauss::ClusterGauss (  std::istream &    stream )

Construct from stream.

ClusterGauss::~ClusterGauss (    )

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Member Function Documentation

void ClusterGauss::prepareInverse (    )

When covariance is changed, update cached information necessary to compute Mahalanobis distance.

float ClusterGauss::probability (  const Vector< float > &    point, float *    scale = NULL, float *    minScale = NULL )

The probability of being in the cluster, which is simply the Gaussian of the distance from the center. Result is multiplied by exp (scale) if minScale == NULL; otherwise scale and minScale are updated, and result is unscaled.

void ClusterGauss::read (  std::istream &    stream )

void ClusterGauss::write (  std::ostream &    stream )

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Member Data Documentation

float fl::ClusterGauss::alpha

Vector<float> fl::ClusterGauss::center

Matrix<float> fl::ClusterGauss::covariance

float fl::ClusterGauss::det

preprocessed multiplier that goes in front of probability expression. Includes determinant of the covariance matrix.

Vector<float> fl::ClusterGauss::eigenvalues

Matrix<float> fl::ClusterGauss::eigenvectors

Matrix<float> fl::ClusterGauss::eigenverse

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

• cluster.h
• KMeans.cc

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