---

MonoKMean Member List

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

ASeparateFeatureClassifier(int n) (defined in ASeparateFeatureClassifier)	ASeparateFeatureClassifier
count (defined in MonoKMean)	MonoKMean	[private]
distance2(double feature) (defined in MonoGaussianClassifier)	MonoGaussianClassifier	[inline, virtual]
distance2(RealVector &featureVector) (defined in ASeparateFeatureClassifier)	ASeparateFeatureClassifier	[virtual]
end() (defined in MonoKMean)	MonoKMean	[virtual]
L(double feature) (defined in MonoGaussianClassifier)	MonoGaussianClassifier	[virtual]
L(RealVector &featureVector) (defined in ASeparateFeatureClassifier)	ASeparateFeatureClassifier	[virtual]
learn(double value) (defined in MonoKMean)	MonoKMean	[virtual]
learn(RealVector &newValue) (defined in ASeparateFeatureClassifier)	ASeparateFeatureClassifier	[inline, virtual]
meanValue (defined in MonoGaussianClassifier)	MonoGaussianClassifier	[protected]
MonoGaussianClassifier() (defined in MonoGaussianClassifier)	MonoGaussianClassifier	[inline]
MonoKMean() (defined in MonoKMean)	MonoKMean	[inline]
nFeatures (defined in ASeparateFeatureClassifier)	ASeparateFeatureClassifier	[protected]
numberOfCounts() (defined in MonoKMean)	MonoKMean	[inline, virtual]
numberOfFeatures() (defined in ASeparateFeatureClassifier)	ASeparateFeatureClassifier	[inline, virtual]
output() (defined in MonoKMean)	MonoKMean	[inline, virtual]
output(FILE *file) (defined in MonoGaussianClassifier)	MonoGaussianClassifier	[virtual]
P(double feature) (defined in MonoGaussianClassifier)	MonoGaussianClassifier	[virtual]
P(RealVector &featureVector) (defined in ASeparateFeatureClassifier)	ASeparateFeatureClassifier	[virtual]
PI (defined in ASeparateFeatureClassifier)	ASeparateFeatureClassifier	[protected]
reducedValue(double feature) (defined in MonoGaussianClassifier)	MonoGaussianClassifier	[inline, protected, virtual]
root2PI (defined in MonoGaussianClassifier)	MonoGaussianClassifier	[protected]
sigma (defined in MonoGaussianClassifier)	MonoGaussianClassifier	[protected]
start() (defined in MonoKMean)	MonoKMean	[virtual]
sumX (defined in MonoKMean)	MonoKMean	[private]
sumX2 (defined in MonoKMean)	MonoKMean	[private]
unlearn(double value) (defined in MonoKMean)	MonoKMean	[virtual]
unlearn(RealVector &newValue) (defined in ASeparateFeatureClassifier)	ASeparateFeatureClassifier	[inline, virtual]
~ASeparateFeatureClassifier() (defined in ASeparateFeatureClassifier)	ASeparateFeatureClassifier	[inline, virtual]
~MonoGaussianClassifier() (defined in MonoGaussianClassifier)	MonoGaussianClassifier	[inline, virtual]
~MonoKMean() (defined in MonoKMean)	MonoKMean	[inline, virtual]

Restoreinpaint sourceforge project `C++/Java Image Processing, Restoration, Inpainting Project'.

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.