IDmSelfOrganizingMap

Assembly: Ms;

Description

The IDmSelfOrganizingMap interface is used for data clustering using the Kohonen self-organizing maps.

Inheritance Hierarchy

IDmMethodDetails

IDmAttributesDetails

IDmClusteringDetails

IDmSelfOrganizingMap

Comments

This method groups objects using the Kohonen neural network. Unsupervised learning is used, thus the result depends only on the structure of input data. The method works on the numeric values.

Properties inherited from IDmClusteringDetails

	Property name	Brief description
	CategoriesCount	The CategoriesCount property determines the number of clusters, into which source data will be divided.

Properties inherited from IDmAttributesDetails

	Property name	Brief description
	Attributes	The Attributes property determines indexes of fields of the data source containing analysis factors.

Properties inherited from IDmMethodDetails

	Property name	Brief description
	CrossValidation	The CrossValidation property returns cross-validation settings.
	DisplayName	The DisplayName property returns method name.
	InputDataSource	The InputDataSource property determines a input data source.
	StatMethod	The StatMethod property returns parameters of a statistical method used in analysis.