ECoL: Complexity Measures for Classification Problems

Provides measures to characterize the complexity of classification problems based on the ambiguity and the separation between the classes and the data sparsity and dimensionality of the datasets. This package provides bug fixes, generalizations and implementations of many state of the art measures. The measures are described in the paper: Tin Ho and Mitra Basu (2002) <doi:10.1109/34.990132>.

Version: 0.1.0
Imports: cluster, e1071, igraph, MASS
Published: 2018-01-22
Author: Luis Garcia [aut, cre], Ana Lorena [aut, ctb], Jens Lehmann [aut]
Maintainer: Luis Garcia <garcia at informatik.uni-leipzig.de>
BugReports: https://github.com/SmartDataAnalytics/ECoL/issues
License: MIT + file LICENSE
URL: https://github.com/SmartDataAnalytics/ECoL/
NeedsCompilation: no
CRAN checks: ECoL results

Downloads:

Reference manual: ECoL.pdf
Package source: ECoL_0.1.0.tar.gz
Windows binaries: r-devel: ECoL_0.1.0.zip, r-release: ECoL_0.1.0.zip, r-oldrel: ECoL_0.1.0.zip
OS X El Capitan binaries: r-release: ECoL_0.1.0.tgz
OS X Mavericks binaries: r-oldrel: not available

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