Inheritance diagram for kddml.Core.DataMining.Clustering.GAUSS_SIM:
Public Member Functions | |
String | getFunctionName () |
Protected Member Functions | |
double | computeNumeric (double value1, Double value2) |
double | computeDiscrete (String value1, String value2) throws ClusteringModelException |
c(x,y) = exp(-ln(2)*z*z/(s*s))
where z=x-y and s is the value of the similarity scale. The Gaussian similarity is an inner function, used to compare two single field values.
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.
Implements kddml.Core.DataMining.Clustering.AttributeComparisonMeasure. |
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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.
Implements kddml.Core.DataMining.Clustering.AttributeComparisonMeasure. |
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Returns the function name.
Implements kddml.Core.DataMining.Clustering.AttributeComparisonMeasure. |