DisimForMixed: Calculate Dissimilarity Matrix for Dataset with Mixed Attributes
Version 0.2

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.

Browse man pages Browse package API and functions Browse package files

AuthorHasanthi A. Pathberiya
Date of publication2016-06-06 17:56:42
MaintainerHasanthi A. Pathberiya <hasanthi@sjp.ac.lk>
LicenseGPL
Version0.2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("DisimForMixed")

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.

Functions

calcCondProb Man page Source code
calcDissimMat Man page Source code
discretizeQuant Man page Source code
distBetPairs Man page Source code
findMax Man page Source code
signifOfQuantVars Man page Source code

Files

NAMESPACE
R
R/CalcDissim.R
MD5
DESCRIPTION
man
man/calcCondProb.Rd
man/distBetPairs.Rd
man/discretizeQuant.Rd
man/signifOfQuantVars.Rd
man/findMax.Rd
man/calcDissimMat.Rd
DisimForMixed documentation built on May 19, 2017, 10:17 a.m.