Inheritance diagram for kddml.Core.DataMining.Clustering.DistributionBasedComparisonMeasure:
Public Member Functions | |
DistributionBasedComparisonMeasure () | |
abstract double[] | getDistributionProbability (Cluster[] cluster, Instance instance) throws ClusteringModelException |
boolean | isCentroidBased () |
Title: KDDML
Description: Knowledge Discovery in Database Environment
Copyright: Copyright (c) 2003-2005
Company: Universita' di Pisa - Dipartimento di Informatica
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Empty constructor. |
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Given an input instance, returns a distribution probability in which the i-esim array location contains the probability that the instance belongs to the cluster i.
Implemented in kddml.Core.DataMining.Clustering.EM_DISTANCE. |
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Returns true if the function is related to a centroid-based clustering. Returns true if the function is related to a distribution-based clustering.
Implements kddml.Core.DataMining.Clustering.ComparisonMeasure. |