Robust cluster analysis via mixture models

@inproceedings{McLachlan2006RobustCA,
  title={Robust cluster analysis via mixture models},
  author={G. J. McLachlan and Shu Kay Ng and Richard Bean},
  year={2006}
}
Finite mixture models are being increasingly used to model the distributions of a wide variety of random phenomena and to cluster data sets. In this paper, we focus on the use of normal mixture models to cluster data sets of continuous multivariate data. As normality based methods of estimation are not robust, we review the use of t component distributions. With the t mixture model-based approach, the normal distribution for each component in the mixture model is embedded in a wider class of… CONTINUE READING

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