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kddml.Core.DataMining.Clustering.EmptyClusteringFactory Class Reference

Inheritance diagram for kddml.Core.DataMining.Clustering.EmptyClusteringFactory:

kddml.Core.DataMining.Clustering.ClusteringProprietaryFactory kddml.Core.DataMining.ModelProprietaryFactory kddml.Core.DataMining.ModelResourceFactory kddml.Core.KDDMLObjectResourceFactory kddml.Core.KDDMLObjectFactory List of all members.

Public Member Functions

 EmptyClusteringFactory (java.io.File f, DataDictionary dd, MiningSchema ms, ComparisonMeasure function, ClusterDescription centroid_description) throws KDDMLCoreException
KDDMLObject newInstance () throws KDDMLCoreException

Detailed Description

A factory class that create an empty clustering model. It sets the distance function with an empty set of clusters.

Title: KDDML

Description: Knowledge Discovery in Database Environment

Copyright: Copyright (c) 2003 - 2005

Company: Universita' di Pisa - Dipartimento di Informatica

Author:
Andrea Romei (romei@di.unipi.it)
Version:
2.0.16


Constructor & Destructor Documentation

kddml.Core.DataMining.Clustering.EmptyClusteringFactory.EmptyClusteringFactory java.io.File  f,
DataDictionary  dd,
MiningSchema  ms,
ComparisonMeasure  function,
ClusterDescription  centroid_description
throws KDDMLCoreException
 

Constructor used to build both distribution-based clustering and centroid-based clustering. This depends on the set centroid_description object.

Parameters:
f File
dd DataDictionary
ms MiningSchema
function ComparisonMeasure
centroid_description ClusterDescription
Exceptions:
KDDMLCoreException 


Member Function Documentation

KDDMLObject kddml.Core.DataMining.Clustering.EmptyClusteringFactory.newInstance  )  throws KDDMLCoreException [virtual]
 

Returns a new instance of this object. Throws an exception if an error occurs.

Exceptions:
KDDMLCoreException 
Returns:
KDDMLObject

Reimplemented from kddml.Core.DataMining.Clustering.ClusteringProprietaryFactory.


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