IDmSelfOrganizingMap

Assembly: Ms;

Namespace: Prognoz.Platform.Interop.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, the source data is divided into.

Properties inherited from IDmAttributesDetails

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

Properties inherited from IDmMethodDetails

	Property name	Brief description
	CrossValidation	The CrossValidation property returns cross-validation settings
	DisplayName	The DisplayName property returns the method name.
	StatMethod	The StatMethod property returns statistical method parameters used in analysis.