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kddml.Core.DataMining.Clustering.ClusterStatistic Class Reference

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

kddml.Core.DataMining.Clustering.ClusterStatisticManager List of all members.

Public Member Functions

 ClusterStatistic (String cluster_name)
String getName ()
Double getClusterPriors ()
void setClusterPriors (double cluster_priors)
void addStatisticField (StatisticFieldManager field)
Iterator getStatisticFields ()
String toString ()
int getNumberOfFields ()

Detailed Description

In center-based models a cluster is defined by a vector of center coordinates. Some distance measure is used to determine the nearest center, that is the nearest cluster for a given input record. For distribution-based models, the clusters are defined by their statistics. However, the definition of a cluster may contain a center vector as well as statistics.

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.ClusterStatistic.ClusterStatistic String  cluster_name  ) 
 

Empty constructor with no statistic fields.

Parameters:
cluster_name String the cluster name.


Member Function Documentation

String kddml.Core.DataMining.Clustering.ClusterStatistic.getName  ) 
 

Returns the cluster name.

Returns:
String

Implements kddml.Core.DataMining.Clustering.ClusterStatisticManager.

Double kddml.Core.DataMining.Clustering.ClusterStatistic.getClusterPriors  ) 
 

Returns the prior cluster probablity. Can be null.

Returns:
Double a value between 0 and 1 or null.

Implements kddml.Core.DataMining.Clustering.ClusterStatisticManager.

void kddml.Core.DataMining.Clustering.ClusterStatistic.setClusterPriors double  cluster_priors  ) 
 

Sets the cluster priors.

Parameters:
cluster_priors double a value between 0 and 1.

Implements kddml.Core.DataMining.Clustering.ClusterStatisticManager.

void kddml.Core.DataMining.Clustering.ClusterStatistic.addStatisticField StatisticFieldManager  field  ) 
 

Adds a new numeric statistic field to this ClusterDescription.

Parameters:
field StatisticFieldManager

Implements kddml.Core.DataMining.Clustering.ClusterStatisticManager.

Iterator kddml.Core.DataMining.Clustering.ClusterStatistic.getStatisticFields  ) 
 

Returns an iterator on statistic fields.

Returns:
Iterator an iterator of StatisticField

Implements kddml.Core.DataMining.Clustering.ClusterStatisticManager.

String kddml.Core.DataMining.Clustering.ClusterStatistic.toString  ) 
 

Returns a representation of this object as string.

Returns:
String

int kddml.Core.DataMining.Clustering.ClusterStatistic.getNumberOfFields  ) 
 

Returns the number of fields.

Returns:
int

Implements kddml.Core.DataMining.Clustering.ClusterStatisticManager.


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