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MixSim (version 1.1-3)

Simulating Data to Study Performance of Clustering Algorithms

Description

The utility of this package is in 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.

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Version

Install

install.packages('MixSim')

Monthly Downloads

491

Version

1.1-3

License

GPL (>= 2)

Maintainer

Wei-Chen Chen

Last Published

April 29th, 2017

Functions in MixSim (1.1-3)

MixGOM

Mixture Simulation based on generalized overlap of Maitra
MixSim

Mixture Simulation
pdplot

Parallel Distribution Plot
perms

Permutations
RandIndex

Rand's Index
VarInf

Variation of Information
print.object

Functions for Printing or Summarizing Objects
simdataset

Dataset Simulation
MixSim-package

Simulation of Gaussian Finite Mixture Models
ClassProp

Classification Proportion
overlap

Overlap
overlapGOM

Generalized overlap of Maitra