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DisimForMixed  

Calculate Dissimilarity Matrix for Dataset with Mixed Attributes
View on CRAN: Click here


Download and install DisimForMixed package within the R console
Install from CRAN:
install.packages("DisimForMixed")

Install from Github:
library("remotes")
install_github("cran/DisimForMixed")

Install by package version:
library("remotes")
install_version("DisimForMixed", "0.2")



Attach the package and use:
library("DisimForMixed")
Maintained by
Hasanthi A. Pathberiya
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-03-14
Latest Update: 2016-06-06
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.
How to cite:
Hasanthi A. Pathberiya (2016). DisimForMixed: Calculate Dissimilarity Matrix for Dataset with Mixed Attributes. R package version 0.2, https://cran.r-project.org/web/packages/DisimForMixed. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1 (2016-03-14 15:23)
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Other R packages that DisimForMixed depends, imports, suggests or enhances
Complete documentation for DisimForMixed
Functions, R codes and Examples using the DisimForMixed R package
Some associated functions: calcCondProb . calcDissimMat . discretizeQuant . distBetPairs . findMax . signifOfQuantVars . 
Some associated R codes: CalcDissim.R .  Full DisimForMixed package functions and examples
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