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OptMultiKMean Member List

This is the complete list of members for OptMultiKMean, including all inherited members.

ASeparateFeatureClassifier(int n) (defined in ASeparateFeatureClassifier)	ASeparateFeatureClassifier
computeCovariance() (defined in OptMultiKMean)	OptMultiKMean	[protected, virtual]
computeEigenvalues() (defined in OptMultiKMean)	OptMultiKMean	[protected, virtual]
computeEigenvectors() (defined in OptMultiKMean)	OptMultiKMean	[protected, virtual]
count (defined in OptMultiKMean)	OptMultiKMean	[private]
distance2(RealVector &featureVector) (defined in SeparateGaussianClassifier)	SeparateGaussianClassifier	[virtual]
distance2(double feature) (defined in ASeparateFeatureClassifier)	ASeparateFeatureClassifier	[virtual]
E (defined in OptMultiKMean)	OptMultiKMean	[private]
end() (defined in OptMultiKMean)	OptMultiKMean	[virtual]
K (defined in OptMultiKMean)	OptMultiKMean	[private]
L(RealVector &featureVector) (defined in SeparateGaussianClassifier)	SeparateGaussianClassifier	[virtual]
L(double featureVector) (defined in ASeparateFeatureClassifier)	ASeparateFeatureClassifier	[virtual]
lambda (defined in OptMultiKMean)	OptMultiKMean	[private]
learn(RealVector &value) (defined in OptMultiKMean)	OptMultiKMean	[virtual]
learn(double newValue) (defined in ASeparateFeatureClassifier)	ASeparateFeatureClassifier	[inline, virtual]
logroot2nPI (defined in SeparateGaussianClassifier)	SeparateGaussianClassifier	[protected]
meanValue (defined in SeparateGaussianClassifier)	SeparateGaussianClassifier	[protected]
nFeatures (defined in ASeparateFeatureClassifier)	ASeparateFeatureClassifier	[protected]
numberOfCounts() (defined in OptMultiKMean)	OptMultiKMean	[inline, virtual]
numberOfFeatures() (defined in ASeparateFeatureClassifier)	ASeparateFeatureClassifier	[inline, virtual]
optimizationFlag (defined in OptMultiKMean)	OptMultiKMean	[private]
OptMultiKMean(int n) (defined in OptMultiKMean)	OptMultiKMean
output() (defined in OptMultiKMean)	OptMultiKMean	[inline, virtual]
output(FILE *file) (defined in SeparateGaussianClassifier)	SeparateGaussianClassifier	[virtual]
P(RealVector &featureVector) (defined in SeparateGaussianClassifier)	SeparateGaussianClassifier	[virtual]
P(double feature) (defined in ASeparateFeatureClassifier)	ASeparateFeatureClassifier	[virtual]
PI (defined in ASeparateFeatureClassifier)	ASeparateFeatureClassifier	[protected]
productSigma (defined in SeparateGaussianClassifier)	SeparateGaussianClassifier	[protected]
reducedValue(int i, double featurei) (defined in SeparateGaussianClassifier)	SeparateGaussianClassifier	[inline, protected, virtual]
root2nPI (defined in SeparateGaussianClassifier)	SeparateGaussianClassifier	[protected]
SeparateGaussianClassifier(int n) (defined in SeparateGaussianClassifier)	SeparateGaussianClassifier
sigma (defined in SeparateGaussianClassifier)	SeparateGaussianClassifier	[protected]
start() (defined in OptMultiKMean)	OptMultiKMean	[virtual]
sumLogSigma (defined in SeparateGaussianClassifier)	SeparateGaussianClassifier	[protected]
sumX (defined in OptMultiKMean)	OptMultiKMean	[private]
sumXY (defined in OptMultiKMean)	OptMultiKMean	[private]
unlearn(RealVector &value) (defined in OptMultiKMean)	OptMultiKMean	[virtual]
unlearn(double newValue) (defined in ASeparateFeatureClassifier)	ASeparateFeatureClassifier	[inline, virtual]
~ASeparateFeatureClassifier() (defined in ASeparateFeatureClassifier)	ASeparateFeatureClassifier	[inline, virtual]
~OptMultiKMean() (defined in OptMultiKMean)	OptMultiKMean	[inline, virtual]
~SeparateGaussianClassifier() (defined in SeparateGaussianClassifier)	SeparateGaussianClassifier	[inline, virtual]

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Bernard De Cuyper: Open Project Leader: Concept, design and development. Bernard De Cuyper & Eddy Fraiha 2002, 2003. Bernard De Cuyper 2004. Open and free, for friendly usage only. Modifications on Belgium ground of this piece of artistic work, by governement institutions or companies, must be notified to Bernard De Cuyper.