ClusterCountSelectionType

Description

The ClusterCountSelectionType enumeration is used to determine the method of cluster count selection.

It is used by the following property:

Available Values

  Value Brief description
0 Fixed. User-defined.
1 VarDisAutoSelection. Autoselection by the Variance Distance algorithm. The algorithm is based on calculating of variation of values of attributes in the sampling an is applicable only to fuzzy clustering.
2 RAlgorithmAutoSelection. Autoselection by the R algorithm. The algorithm is based on analysis of stability of alternative classifications for available modifications of the source sample.

NOTE. The number of unique clustering objects for autoselection by the R algorithm must be greater than 5.

See also:

Stat Assembly Enumerations