MixSim : An R Package for Simulating Data to Study Performance of Clustering Algorithms

@inproceedings{Melnykov2016MixSimA,
  title={MixSim : An R Package for Simulating Data to Study Performance of Clustering Algorithms},
  author={Volodymyr Melnykov and Wei-Chen Chen and Ranjan Maitra},
  year={2016}
}
The R package MixSim is a new tool that 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… CONTINUE READING
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