IPSDK  4_1_0_2
IPSDK : Image Processing Software Development Kit
ipsdk::math::clustering::KernelKMeansCentroid< KernelType > Member List

This is the complete list of members for ipsdk::math::clustering::KernelKMeansCentroid< KernelType >, including all inherited members.

_accuracyThresholdipsdk::math::clustering::KernelKMeansCentroid< KernelType >protected
_clusterTermInfoipsdk::math::clustering::KernelKMeansCentroid< KernelType >mutableprotected
_dictionaryipsdk::math::clustering::KernelKMeansCentroid< KernelType >protected
_invMatKipsdk::math::clustering::KernelKMeansCentroid< KernelType >protected
_kernelipsdk::math::clustering::KernelKMeansCentroid< KernelType >protected
_matKipsdk::math::clustering::KernelKMeansCentroid< KernelType >protected
_maxDictionarySizeipsdk::math::clustering::KernelKMeansCentroid< KernelType >protected
_minStrengthInfoipsdk::math::clustering::KernelKMeansCentroid< KernelType >protected
_nbSamplesipsdk::math::clustering::KernelKMeansCentroid< KernelType >protected
_weightsipsdk::math::clustering::KernelKMeansCentroid< KernelType >protected
_wkMatipsdk::math::clustering::KernelKMeansCentroid< KernelType >protected
_wkVecipsdk::math::clustering::KernelKMeansCentroid< KernelType >protected
_wkVecAipsdk::math::clustering::KernelKMeansCentroid< KernelType >protected
_wkVecMixedTermsipsdk::math::clustering::KernelKMeansCentroid< KernelType >protected
addSample(const Vector &sample)ipsdk::math::clustering::KernelKMeansCentroid< KernelType >
clear()ipsdk::math::clustering::KernelKMeansCentroid< KernelType >
comparable_distance(const Vector &sample) constipsdk::math::clustering::KernelKMeansCentroid< KernelType >inline
distance(const Vector &sample) constipsdk::math::clustering::KernelKMeansCentroid< KernelType >inline
getAccuracyThreshold() constipsdk::math::clustering::KernelKMeansCentroid< KernelType >
getClusterTerm() constipsdk::math::clustering::KernelKMeansCentroid< KernelType >
getDefaultAccuracyThreshold()ipsdk::math::clustering::KernelKMeansCentroid< KernelType >inlinestatic
getDefaultMaxDictionarySize()ipsdk::math::clustering::KernelKMeansCentroid< KernelType >inlinestatic
getDictionary() constipsdk::math::clustering::KernelKMeansCentroid< KernelType >
getDictionarySize() constipsdk::math::clustering::KernelKMeansCentroid< KernelType >
getKernel() constipsdk::math::clustering::KernelKMeansCentroid< KernelType >
getMaxDictionarySize() constipsdk::math::clustering::KernelKMeansCentroid< KernelType >
getNbSamples() constipsdk::math::clustering::KernelKMeansCentroid< KernelType >
getWeights() constipsdk::math::clustering::KernelKMeansCentroid< KernelType >
KernelKMeansCentroid(const KernelType &kernel) (defined in ipsdk::math::clustering::KernelKMeansCentroid< KernelType >)ipsdk::math::clustering::KernelKMeansCentroid< KernelType >
setAccuracyThreshold(const ipReal64 accuracyThreshold)ipsdk::math::clustering::KernelKMeansCentroid< KernelType >
setMaxDictionarySize(const ipUInt32 maxDictionarySize)ipsdk::math::clustering::KernelKMeansCentroid< KernelType >
updateClusterTerm() constipsdk::math::clustering::KernelKMeansCentroid< KernelType >protected
updateMinStrength()ipsdk::math::clustering::KernelKMeansCentroid< KernelType >protected
~KernelKMeansCentroid() (defined in ipsdk::math::clustering::KernelKMeansCentroid< KernelType >)ipsdk::math::clustering::KernelKMeansCentroid< KernelType >
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