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prapi::neuro::SOM< I, C > Member List

This is the complete list of members for prapi::neuro::SOM< I, C >, including all inherited members.
_bBinIndexModeprapi::VQClassifier< I, C >
_iClassCountprapi::Classifier< double, I, C >
_lstCodeBookprapi::VQClassifier< I, C >
_lstpTrainingSamplesprapi::Classifier< double, I, C >
_proximityMeasureprapi::Classifier< double, I, C >
adaptVector(Sample< double, I, C > &code, const Sample< double, I, C > &sample, double alpha)prapi::neuro::SOM< I, C > [protected, virtual]
addEventListener(EventListener< ClassificationEvent< double, I, C > > *listener)EventSource< ClassificationEvent< double, I, C > >
autodeleteMeasure(void)prapi::Classifier< double, I, C >
classCount(void)prapi::Classifier< double, I, C >
Classifier(util::List< Sample< double, I, C > > *trainingSamples=NULL, ProximityMeasure< double > *measure=NULL, int classCount=-1)prapi::Classifier< double, I, C >
Classifier(util::List< Sample< double, I, C > > &trainingSamples, ProximityMeasure< double > *measure, int classCount)prapi::Classifier< double, I, C >
Classifier(util::List< Sample< double, I, C > > &trainingSamples, ProximityMeasure< double > &measure, int classCount)prapi::Classifier< double, I, C >
clone() constObject [virtual]
codeBook()prapi::VQClassifier< I, C >
codeBook() constprapi::VQClassifier< I, C >
divide(const util::List< Sample< double, I, C > > &samples, util::List< Sample< double, I, C > > &correct, util::List< Sample< double, I, C > > &wrong)prapi::Classifier< double, I, C > [static]
divide(const util::List< Sample< double, I, C > > &samples, util::List< int > &classes)prapi::Classifier< double, I, C > [static]
divideByTrueClass(const util::List< Sample< double, I, C > > &samples, util::List< int > &classes)prapi::Classifier< double, I, C > [static]
fireEvent(const ClassificationEvent< double, I, C > &event)EventSource< ClassificationEvent< double, I, C > >
fireEvent(const ClassificationEvent< double, I, C > *event)EventSource< ClassificationEvent< double, I, C > >
getAutodeleteMeasure(void) constprapi::Classifier< double, I, C >
getBinIndex(const util::List< double > &vector) constprapi::VQClassifier< I, C > [virtual]
getBinIndex(const Sample< double, I, C > &sample) constprapi::VQClassifier< I, C >
getBinIndexMode() constprapi::VQClassifier< I, C >
getClassCount(void) constprapi::Classifier< double, I, C >
getClassification(Sample< double, I, C > &sample)prapi::VQClassifier< I, C > [virtual]
getClassName() constObject
getCodeBook() constprapi::VQClassifier< I, C >
getHeight() constprapi::neuro::SOM< I, C > [inline]
getLearningLength() constprapi::neuro::SOM< I, C > [inline]
getLearningRate() constprapi::neuro::SOM< I, C > [inline]
getLearningRateFunction() constprapi::neuro::SOM< I, C > [inline]
getMaxIndex() constprapi::VQClassifier< I, C > [virtual]
getProximityMeasure(void) constprapi::Classifier< double, I, C >
getRadius() constprapi::neuro::SOM< I, C > [inline]
getRanks(Sample< double, I, C > &sample)prapi::Classifier< double, I, C > [virtual]
getTopology() constprapi::neuro::SOM< I, C > [inline]
getTrainingSamples(void)prapi::Classifier< double, I, C >
getTrainingSamples(void) constprapi::Classifier< double, I, C >
getWidth() constprapi::neuro::SOM< I, C > [inline]
holdOut(util::List< Sample< double, I, C > > &lst)prapi::Classifier< double, I, C > [virtual]
initialize(const util::List< Sample< double, I, C > > &initialCodebook)prapi::neuro::SOM< I, C >
label(const util::List< Sample< double, I, C > > &trainingSamples)prapi::neuro::SOM< I, C >
leaveOneOut(void)prapi::Classifier< double, I, C > [virtual]
Object()Object
removeEventListener(EventListener< ClassificationEvent< double, I, C > > *listener)EventSource< ClassificationEvent< double, I, C > >
selectRandomly(const util::List< Sample< double, I, C > > &samples, int n)prapi::Classifier< double, I, C > [static]
setAutodeleteMeasure(bool del)prapi::Classifier< double, I, C >
setBinIndexMode(bool binIndexMode)prapi::VQClassifier< I, C >
setClassCount(int count)prapi::Classifier< double, I, C >
setCodeBook(util::List< Sample< double, I, C > > codeBook)prapi::VQClassifier< I, C >
setLearningLength(long length)prapi::neuro::SOM< I, C > [inline]
setLearningRate(double rate)prapi::neuro::SOM< I, C > [inline]
setLearningRateFunction(SOMLearningRate func)prapi::neuro::SOM< I, C > [inline]
setProximityMeasure(ProximityMeasure< double > *measure)prapi::Classifier< double, I, C >
setProximityMeasure(ProximityMeasure< double > &measure)prapi::Classifier< double, I, C >
setRadius(double radius)prapi::neuro::SOM< I, C > [inline]
setTopology(SOMTopology topology)prapi::neuro::SOM< I, C > [inline]
setTrainingSamples(util::List< Sample< double, I, C > > *lst)prapi::Classifier< double, I, C > [virtual]
SOM(int xSize=1, int ySize=1)prapi::neuro::SOM< I, C > [inline]
toString() constObject [virtual]
train(const util::List< Sample< double, I, C > > &trainingSamples)prapi::neuro::SOM< I, C >
trainingSamples(void)prapi::Classifier< double, I, C >
VQClassifier(ProximityMeasure< double > *measure, int classCount=1)prapi::VQClassifier< I, C >
VQClassifier(ProximityMeasure< double > &measure, int classCount=1)prapi::VQClassifier< I, C >
writeSOM_PAKFile(std::string fileName, std::string neighborhoodName="bubble", const util::List< std::string > &classNames=util::List< std::string >(0))prapi::neuro::SOM< I, C >
~Classifier()prapi::Classifier< double, I, C > [virtual]
~Object()Object [virtual]
~SOM() (defined in prapi::neuro::SOM< I, C >)prapi::neuro::SOM< I, C > [inline, virtual]

Documentation generated on 11.09.2003 with Doxygen.
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Copyright © Topi Mäenpää 2003. All rights reserved.