Stat Assembly > Stat Assembly Interfaces > ISmKmeansClusterAnalysis
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 | |
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ClusterCount | The ClusterCount property determines the number of clusters to which the set of objects is to be divided. |
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ClusterCountMax | The ClusterCountMax property determines the maximum number of clusters when autoselection is used. |
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ClusterCountMin | The ClusterCountMin property determines the minimum number of clusters on using the autoselection. |
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ClusterCountSelection | The ClusterCountSelection property determines the method of cluster number selection. |
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Clusters | The Clusters property returns information about clustering. |
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Distances | The Distances property returns distances of objects to cluster centers, to which they belong. |
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ExcludeRepeated | The ExcludeRepeated property determines whether repeated elements are excluded from the sample before clustering. |
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FuzzyMembership | The FuzzyMembership property determines probabilistic matrix of object membership to each cluster. |
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InitCenters | The InitCenters property determines the selection of initial cluster centers. |
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IsFuzzy | The IsFuzzy property determines whether to use the fuzzy clustering method. |
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KModesDistance | The KModesDistance property determines the method of calculating distances between objects on clustering by the K-mode method. |
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MaxIt | The MaxIt property determines the maximum number of iterations, within which the solution is found. |
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Membership | The Membership property returns whether an object belongs to clusters. |
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Modification | The Modification property determines the type of the algorithm in use. |
| Property name | Brief description | |
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DisplayName | The DisplayName property returns the displayed method name. |
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ErrorByStatus | The ErrorByStatus property returns an error message by the error number. |
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Errors | The Errors property returns a message with all the errors and warnings. |
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Name | The Name property returns the internal method name. |
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PerformanceTime | The PerformanceTime property returns method execution time. |
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Status | The Status property returns the method execution status. |
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SupportsR | The SupportsR property returns whether statistical method can be calculated via R package. |
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UseR | The UseR property determines whether statistical method is calculated via the R package. |
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WarningByStatus | The WarningByStatus property returns a warning text by its number. |
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Warnings | The Warnings property returns the warnings that occurred on method calculation. |
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WarningsCount | The WarningsCount property returns the number of warnings that occurred on method calculation. |
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WarningsNumbers | The WarningsNumbers property returns numbers of the warnings that occurred on method calculation. |
| Method Name | Brief description | |
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Clone | The Clone method clones a statistical method object. |
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Execute | The Execute method executes a statistical method. |
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LoadFromXML | The LoadFromXML method loads statistical method settings from XML code. |
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SaveToXML | The SaveToXML method unloads statistical method settings to XML code. |
See also:
Stat Assembly Interfaces | k-means Clustering | K-modes Clustering | Detect Categories
