Assembly: Stat;
The ISmKmeansClusterAnalysis interface determines parameters for k-means clustering.
ISmKmeansClusterAnalysis
k-means clustering divides groups into separate objects (division method).
To cluster categorical data by the K-modes clustering method, use the ISmKmeansClusterAnalysis.Modification property.
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. |
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. |
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 Interfaces | k-means Clustering | K-modes Clustering | Detect Categories