Mixture separation for mixed-mode data

@article{Lawrence1996MixtureSF,
  title={Mixture separation for mixed-mode data},
  author={C. J. Lawrence and Wojtek J. Krzanowski},
  journal={Statistics and Computing},
  year={1996},
  volume={6},
  pages={85-92}
}
One possible approach to cluster analysis is the mixture maximum likelihood method, in which the data to be clustered are assumed to come from a finite mixture of populations. The method has been well developed, and much used, for the case of multivariate normal populations. Practical applications, however, often involve mixtures of categorical and continuous variables. Everitt (1988) and Everitt and Merette (1990) recently extended the normal model to deal with such data by incorporating the… CONTINUE READING
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