Inheritance diagram for kddml.Core.DataMining.Clustering.SQUARED_EUCLIDEAN:
Public Member Functions | |
SQUARED_EUCLIDEAN (AttributeComparisonMeasure[] attribute_comparison, double[] weights) | |
SQUARED_EUCLIDEAN (ClusterDescription cluster_description) | |
boolean | isSimilarityMeasure () |
String | getFunctionName () |
Protected Member Functions | |
double | evaluate (double[] x) |
D = sum( Wi * c(Xi,Yi)^2).
Title: KDDML
Description: Knowledge Discovery in Database Environment
Copyright: Copyright (c) 2003-2005
Company: Universita' di Pisa - Dipartimento di Informatica
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Constructor given the list of comparison measures. Used for centroid-based clustering only.
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Constructor given the centroid description. Used both for centroid-based clustering and distribution-based clustering.
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Returns true if the comparison measure is a similarity function, in which the value returned by the compare method is optimal for greater values. Returns false if the comparison measure is a distance measure, in which the value returned by the compare method is optimal if it is 0.
Implements kddml.Core.DataMining.Clustering.CentroidBasedComparisonMeasure. |
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Returns the function name as in PMML.
Implements kddml.Core.DataMining.Clustering.ComparisonMeasure. |
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Evaluates the comparison measure given the comparison values for each single attribute (i.e., the values returned by each single inner function).
Implements kddml.Core.DataMining.Clustering.CentroidBasedComparisonMeasure. |