CLUS::SimpleNormalDistribution Class Reference

Implements a unidimensional normal distribution but the "active" dimension can be specified. More...

#include <simplenormaldistribution.h>

Inheritance diagram for CLUS::SimpleNormalDistribution:

[legend]Collaboration diagram for CLUS::SimpleNormalDistribution:

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Public Member Functions
	SimpleNormalDistribution (int InDim=0, int Dimension=0)
	SimpleNormalDistribution (int InDim, int Dimension, double Alpha, double Mu, double Sigma)
double	LearnProbability (const double *DataCache)
	Probability that a point belongs to this distribution at learning, unnormalized.
double	NormalizeLearnProbability (double Coef, int nrClus=1)
	InferProbability is not defined for this distribution.
double	Probability (const double *DataCache)
double	NormalizeProbability (double Coef, int nrClus=1)
	Makes the simple normalization of the probability not more sophisticated version that can be later added.
void	UpdateStatistics (const double *DataCache, double prob)
double	UpdateParameters (void)
	Computes the values of the new parameters from sufficient statistics.
void	UpdateANOVAElements (int &numNonzero, double &SSR, double &n, double &sumS_x_overS, double &sumS_x)
void	RandomDistribution (int NrClusters)
	Random initialization of a distribution.
Static Public Member Functions
string	TypeName (void)
Protected Attributes
double	mu
	expected value
double	variance
	the variance of the distribution = sigma^2
int	dimension
	the active dimention
int	N
	number of datapoints
double	S
	sum of probabilities
double	S_x
	sum prob*x
double	S_x2
	sum prob*x^2
double	alpha_over_sigma
	alpha/(sqrt(2PI)*sigma)

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Detailed Description

Implements a unidimensional normal distribution but the "active" dimension can be specified.

Definition at line 47 of file simplenormaldistribution.h.

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Constructor & Destructor Documentation

CLUS::SimpleNormalDistribution::SimpleNormalDistribution (  int  InDim = 0, int  Dimension = 0 )  [inline]

Definition at line 75 of file simplenormaldistribution.h.

CLUS::SimpleNormalDistribution::SimpleNormalDistribution (  int  InDim, int  Dimension, double  Alpha, double  Mu, double  Sigma )  [inline]

Definition at line 79 of file simplenormaldistribution.h.

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Member Function Documentation

double CLUS::SimpleNormalDistribution::LearnProbability (  const double *  DataCache  )  [inline]

Probability that a point belongs to this distribution at learning, unnormalized. Reimplemented from CLUS::Distribution. Definition at line 86 of file simplenormaldistribution.h. Referenced by Probability().

double CLUS::SimpleNormalDistribution::NormalizeLearnProbability (  double  Coef, int  nrClus = 1 )  [inline]

InferProbability is not defined for this distribution. Reimplemented from CLUS::Distribution. Definition at line 97 of file simplenormaldistribution.h.

double CLUS::SimpleNormalDistribution::NormalizeProbability (  double  Coef, int  nrClus = 1 )  [inline]

Makes the simple normalization of the probability not more sophisticated version that can be later added. Reimplemented from CLUS::Distribution. Definition at line 111 of file simplenormaldistribution.h.

double CLUS::SimpleNormalDistribution::Probability (  const double *  DataCache  )  [inline]

Todo: to redefine these two since they are not virtual so the wrong methods are called Reimplemented from CLUS::Distribution. Definition at line 106 of file simplenormaldistribution.h.

void CLUS::SimpleNormalDistribution::RandomDistribution (  int  NrClusters  )  [inline]

Random initialization of a distribution. Reimplemented from CLUS::Distribution. Definition at line 183 of file simplenormaldistribution.h.

string CLUS::SimpleNormalDistribution::TypeName (  void   )  [inline, static]

Reimplemented from CLUS::Distribution. Definition at line 177 of file simplenormaldistribution.h.

void CLUS::SimpleNormalDistribution::UpdateANOVAElements (  int &  numNonzero, double &  SSR, double &  n, double &  sumS_x_overS, double &  sumS_x )  [inline]

Definition at line 165 of file simplenormaldistribution.h.

double CLUS::SimpleNormalDistribution::UpdateParameters (  void   )  [inline]

Computes the values of the new parameters from sufficient statistics. Reimplemented from CLUS::Distribution. Definition at line 124 of file simplenormaldistribution.h.

void CLUS::SimpleNormalDistribution::UpdateStatistics (  const double *  DataCache, double  prob )  [inline]

Definition at line 116 of file simplenormaldistribution.h. Referenced by NormalizeLearnProbability().

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Field Documentation

double CLUS::SimpleNormalDistribution::alpha_over_sigma [protected]

alpha/(sqrt(2PI)*sigma) Definition at line 72 of file simplenormaldistribution.h. Referenced by LearnProbability(), RandomDistribution(), SimpleNormalDistribution(), and UpdateParameters().

int CLUS::SimpleNormalDistribution::dimension [protected]

the active dimention Definition at line 57 of file simplenormaldistribution.h. Referenced by LearnProbability(), SimpleNormalDistribution(), and UpdateStatistics().

double CLUS::SimpleNormalDistribution::mu [protected]

expected value Definition at line 51 of file simplenormaldistribution.h. Referenced by LearnProbability(), RandomDistribution(), SimpleNormalDistribution(), UpdateANOVAElements(), and UpdateParameters().

int CLUS::SimpleNormalDistribution::N [protected]

number of datapoints Definition at line 60 of file simplenormaldistribution.h. Referenced by SimpleNormalDistribution(), UpdateParameters(), and UpdateStatistics().

double CLUS::SimpleNormalDistribution::S [protected]

sum of probabilities Definition at line 63 of file simplenormaldistribution.h. Referenced by SimpleNormalDistribution(), UpdateANOVAElements(), UpdateParameters(), and UpdateStatistics().

double CLUS::SimpleNormalDistribution::S_x [protected]

sum prob*x Definition at line 66 of file simplenormaldistribution.h. Referenced by SimpleNormalDistribution(), UpdateANOVAElements(), UpdateParameters(), and UpdateStatistics().

double CLUS::SimpleNormalDistribution::S_x2 [protected]

sum prob*x^2 Definition at line 69 of file simplenormaldistribution.h. Referenced by SimpleNormalDistribution(), UpdateParameters(), and UpdateStatistics().

double CLUS::SimpleNormalDistribution::variance [protected]

the variance of the distribution = sigma^2 Definition at line 54 of file simplenormaldistribution.h. Referenced by LearnProbability(), RandomDistribution(), SimpleNormalDistribution(), UpdateANOVAElements(), and UpdateParameters().

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

• simplenormaldistribution.h

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