# MixSim v1.1-3

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## Simulating Data to Study Performance of Clustering Algorithms

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.

## Functions in MixSim

 Name Description 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 ClassProp Classification Proportion overlap Overlap overlapGOM Generalized overlap of Maitra No Results!