MixSim: Simulating Data to Study Performance of Clustering Algorithms

MixSim allows simulating mixtures of Gaussian distributions with different levels of overlap between mixture components. Pairwise overlap, defined as a sum of two misclassification probabilities, measures the degree of interaction between components and can be readily employed to control the clustering complexity of datasets simulated from mixtures. These datasets can then be used for systematic performance investigation of clustering and finite mixture modeling algorithms. Among other capabilities of MixSim, there are computing the exact overlap for Gaussian mixtures, simulating Gaussian and non-Gaussian data, simulating outliers and noise variables, calculating various measures of agreement between two partitionings, and constructing parallel distribution plots for the graphical display of finite mixture models.

Version: 1.0-9
Depends: R (≥ 2.14.0), MASS
Published: 2013-12-10
Author: Volodymyr Melnykov [aut, cre], Wei-Chen Chen [aut], Ranjan Maitra [aut]
Maintainer: Volodymyr Melnykov <vmelnykov at cba.ua.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: MixSim citation info
Materials: ChangeLog
In views: Cluster
CRAN checks: MixSim results

Downloads:

Reference manual: MixSim.pdf
Package source: MixSim_1.0-9.tar.gz
OS X binary: MixSim_1.0-9.tgz
Windows binary: MixSim_1.0-9.zip
Old sources: MixSim archive

Reverse dependencies:

Reverse enhances: pbdDEMO, pmclust