SmKmeansClusterAnalysis

Description

The SmKmeansClusterAnalysis class implements algorithm for clustering using the k-means method. This method divides a set of multidimensional objects into homogenous groups.

Properties inherited from ISmKmeansClusterAnalysis

	Property name	Brief description
	ClusterCount	The ClusterCount property determines the number of clusters to which the set of objects is to be divided.
	ClusterCountMax	The ClusterCountMax property determines the maximum number of clusters when autoselection is used.
	ClusterCountMin	The ClusterCountMin property determines the minimum number of clusters on using the autoselection.
	ClusterCountSelection	The ClusterCountSelection property determines the method of cluster number selection.
	Clusters	The Clusters property returns information about clustering.
	Distances	The Distances property returns distances of objects to cluster centers, to which they belong.
	ExcludeRepeated	The ExcludeRepeated property determines whether repeated elements are excluded from the sample before clustering.
	FuzzyMembership	The FuzzyMembership property determines probabilistic matrix of object membership to each cluster.
	InitCenters	The InitCenters property determines the selection of initial cluster centers.
	IsFuzzy	The IsFuzzy property determines whether to use the fuzzy clustering method.
	KModesDistance	The KModesDistance property determines the method of calculating distances between objects on clustering by the K-mode method.
	MaxIt	The MaxIt property determines the maximum number of iterations, within which the solution is found.
	Membership	The Membership property returns whether an object belongs to clusters.
	Modification	The Modification property determines the type of the algorithm in use.
	Objects	The Objects property determines the list of considered objects.

Properties inherited from IStatMethod

	Property name	Brief description
	DisplayName	The DisplayName property returns the displayed method name.
	ErrorByStatus	The ErrorByStatus property returns an error message by the error number.
	Errors	The Errors property returns a message with all the errors and warnings.
	Name	The Name property returns the internal method name.
	PerformanceTime	The PerformanceTime property returns method execution time.
	Status	The Status property returns the method execution status.
	SupportsR	The SupportsR property returns whether statistical method can be calculated via R package.
	UseR	The UseR property determines whether statistical method is calculated via the R package.
	WarningByStatus	The WarningByStatus property returns a warning text by its number.
	Warnings	The Warnings property returns the warnings that occurred at method calculation.
	WarningsCount	The WarningsCount property returns the number of warnings that occurred at the method calculation.
	WarningsNumbers	The WarningsNumbers property returns numbers of warnings that occurred at the method calculation.

Methods inherited from IStatMethod

	Method Name	Brief description
	Clone	The Clone method clones a statistical method object.
	Execute	The Execute method executes a statistical method.
	LoadFromXML	The LoadFromXML method loads statistical method settings from XML code.
	SaveToXML	The SaveToXML method unloads statistical method settings to XML code.

See also:

Stat Assembly Classes