CalinskiHarabasz Class Reference

This class calculates Calinski-Harabasz index. More...

Inheritance diagram for CalinskiHarabasz:

Collaboration diagram for CalinskiHarabasz:

Public Attributes
	Model
	More...
	SubsetKey
	More...
	normalize
	More...

Additional Inherited Members
Public Member Functions inherited from RegisteredObject
_.Library.Status	OnAddToSaveSet (_.Library.Integer depth, _.Library.Integer insert, _.Library.Integer callcount)
	This callback method is invoked when the current object is added to the SaveSet,. More...
_.Library.Status	OnClose ()
	This callback method is invoked by the <METHOD>Close</METHOD> method to. More...
_.Library.Status	OnConstructClone (_.Library.RegisteredObject object, _.Library.Boolean deep, _.Library.String cloned)
	This callback method is invoked by the <METHOD>ConstructClone</METHOD> method to. More...
_.Library.Status	OnNew ()
	This callback method is invoked by the <METHOD>New</METHOD> method to. More...
_.Library.Status	OnValidateObject ()
	This callback method is invoked by the <METHOD>ValidateObject</METHOD> method to. More...
Static Public Attributes inherited from RegisteredObject
	CAPTION = None
	Optional name used by the Form Wizard for a class when generating forms. More...
	JAVATYPE = None
	The Java type to be used when exported.
	PROPERTYVALIDATION = None
	This parameter controls the default validation behavior for the object. More...

Detailed Description

This class calculates Calinski-Harabasz index.

Calinski-Harabasz use the Variance Ratio Criterion which is analogous to F-Statistics to estimate the number of clusters a given data naturally falls into. They minimize Within Cluster/Group Sum of Squares and maximize Between Cluster/Group Sum of Squares.

Validity indices are used in Cluster Validation and determination of the optimal number of clusters.

Member Data Documentation

Model

Model

 

 

SubsetKey

SubsetKey

 

 

normalize

normalize