DisimForMixed: Calculate Dissimilarity Matrix for Dataset with Mixed Attributes

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.

Version: 0.2
Imports: dplyr, cluster
Published: 2016-06-06
Author: Hasanthi A. Pathberiya
Maintainer: Hasanthi A. Pathberiya <hasanthi at sjp.ac.lk>
License: GPL-2 | GPL-3 [expanded from: GPL]
NeedsCompilation: no
CRAN checks: DisimForMixed results


Reference manual: DisimForMixed.pdf
Package source: DisimForMixed_0.2.tar.gz
Windows binaries: r-devel: DisimForMixed_0.2.zip, r-release: DisimForMixed_0.2.zip, r-oldrel: DisimForMixed_0.2.zip
OS X El Capitan binaries: r-release: DisimForMixed_0.2.tgz
OS X Mavericks binaries: r-oldrel: DisimForMixed_0.2.tgz
Old sources: DisimForMixed archive


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