Inheritance diagram for kddml.Core.DataMining.Clustering.AttributeComparisonMeasure:
Public Member Functions | |
abstract String | getFunctionName () |
Protected Member Functions | |
abstract double | computeNumeric (double center_coordinate, Double value2) throws ClusteringModelException |
abstract double | computeDiscrete (String center_coordinate, String value2) throws ClusteringModelException |
Title: KDDML
Description: Knowledge Discovery in Database Environment
Copyright: Copyright (c) 2003-2005
Company: Universita' di Pisa - Dipartimento di Informatica
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Computes the comparison measure for a numeric attribute. Throws an exception if the function cannot be calculated on a numeric attribute.
Implemented in kddml.Core.DataMining.Clustering.ABS_DIFF, kddml.Core.DataMining.Clustering.DELTA, kddml.Core.DataMining.Clustering.EQUAL, kddml.Core.DataMining.Clustering.GAUSS_SIM, and kddml.Core.DataMining.Clustering.SIMILARITY_MATRIX. |
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Computes the comparison measure for a discrete attribute. Throws an exception if the function cannot be calculated on a discrete attribute.
Implemented in kddml.Core.DataMining.Clustering.ABS_DIFF, kddml.Core.DataMining.Clustering.DELTA, kddml.Core.DataMining.Clustering.EQUAL, kddml.Core.DataMining.Clustering.GAUSS_SIM, and kddml.Core.DataMining.Clustering.SIMILARITY_MATRIX. |
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Returns the function name as used in PMML.
Implemented in kddml.Core.DataMining.Clustering.ABS_DIFF, kddml.Core.DataMining.Clustering.DELTA, kddml.Core.DataMining.Clustering.EQUAL, kddml.Core.DataMining.Clustering.GAUSS_SIM, and kddml.Core.DataMining.Clustering.SIMILARITY_MATRIX. |