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.

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 on method calculation.
WarningsCount The WarningsCount property returns the number of warnings that occurred on method calculation.
WarningsNumbers The WarningsNumbers property returns numbers of the warnings that occurred on 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