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DisimForMixed (version 0.2)

Calculate Dissimilarity Matrix for Dataset with Mixed Attributes

Description

Implement the methods proposed by Ahmad & Dey (2007) in calculating the dissimilarity matrix at the presence of mixed attributes. This Package includes functions to discretize quantitative variables, calculate conditional probability for each pair of attribute values, distance between every pair of attribute values, significance of attributes, calculate dissimilarity between each pair of objects.

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Version

Install

install.packages('DisimForMixed')

Monthly Downloads

227

Version

0.2

License

GPL

Maintainer

Hasanthi A Pathberiya

Last Published

June 6th, 2016

Functions in DisimForMixed (0.2)

calcDissimMat

Calculate Dissimilarity Matrix for Mixed Attributes.
calcCondProb

Calculate Conditional Probabilities.
distBetPairs

Calculate Distance Between Attribute Values.
findMax

Calculate Distance Between given Attribute Values by considering only a pair of attributes.
signifOfQuantVars

Calculate Significance of Quantitative Attributes.
discretizeQuant

Descretize Quantitative Variables.