DisimForMixed: Calculate Dissimilarity Matrix for Dataset with Mixed Attributes

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Implement the methods proposed by Ahmad & Dey (2007) <doi:10.1016/j.datak.2007.03.016> 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.

Author
Hasanthi A. Pathberiya
Date of publication
2016-06-06 17:56:42
Maintainer
Hasanthi A. Pathberiya <hasanthi@sjp.ac.lk>
License
GPL
Version
0.2

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Man pages

calcCondProb
Calculate Conditional Probabilities.
calcDissimMat
Calculate Dissimilarity Matrix for Mixed Attributes.
discretizeQuant
Descretize Quantitative Variables.
distBetPairs
Calculate Distance Between Attribute Values.
findMax
Calculate Distance Between given Attribute Values by...
signifOfQuantVars
Calculate Significance of Quantitative Attributes.

Files in this package

DisimForMixed
DisimForMixed/NAMESPACE
DisimForMixed/R
DisimForMixed/R/CalcDissim.R
DisimForMixed/MD5
DisimForMixed/DESCRIPTION
DisimForMixed/man
DisimForMixed/man/calcCondProb.Rd
DisimForMixed/man/distBetPairs.Rd
DisimForMixed/man/discretizeQuant.Rd
DisimForMixed/man/signifOfQuantVars.Rd
DisimForMixed/man/findMax.Rd
DisimForMixed/man/calcDissimMat.Rd