KernelKMeansParams

structure allowing to encapsulate parameters for kernel kmeans clustering algorithm More...

Classes
class	ipsdk::imaproc::attr::KernelKMeansParams
	structure allowing to encapsulate parameters for kernel kmeans clustering algorithm More...

Typedefs
typedef boost::shared_ptr< ipsdk::imaproc::attr::KernelKMeansParams >	ipsdk::imaproc::attr::KernelKMeansParamsPtr
	shared pointer to ipsdk::imaproc::attr::KernelKMeansParams
typedef boost::shared_ptr< const ipsdk::imaproc::attr::KernelKMeansParams >	ipsdk::imaproc::attr::KernelKMeansParamsConstPtr
	shared pointer to const ipsdk::imaproc::attr::KernelKMeansParams

Detailed Description

structure allowing to encapsulate parameters for kernel kmeans clustering algorithm

SubNodes description

Name	ToolTip	Associated Class	Default Value
RBKParamsPolicy	used policy for radial basis kernel parameters computation	ipsdk::DataItemEnumLeaf<ipsdk::imaproc::attr::eRadialBasisKernelParamsPolicy>	ipsdk::imaproc::attr::eRadialBasisKernelParamsPolicy::eRBKPP_FromDataDynamic
RBKSigmaParam	Parameter used to compute radial basis kernel sigma value.	ipsdk::DataItemLeaf<ipsdk::ipReal32>
RBKAccuracyThresholdParam	Parameter used to compute accuracy threshold for approximate linear dependence condition.	ipsdk::DataItemLeaf<ipsdk::ipReal32>
NbAttempts	number of attempts for KMeans algorithm	ipsdk::DataItemLeaf<ipsdk::ipUInt32>
NbMaxIteration	maximum number of K-Means algorithm iterations for an attempt	ipsdk::DataItemLeaf<ipsdk::ipUInt32>
MinChangeRatio	minimum ratio for sample assignment change (versus full number of samples) to consider that an iteration has converged	ipsdk::DataItemLeaf<ipsdk::ipReal32>
MaxDictionarySize	maximum dictionary size by cluster	ipsdk::DataItemLeaf<ipsdk::ipUInt32>