Mixture-Model Cluster Analysis Using Model Selection Criteria and a New Informational Measure of Complexity

@inproceedings{Bozdogan1994MixtureModelCA,
title={Mixture-Model Cluster Analysis Using Model Selection Criteria and a New Informational Measure of Complexity},
author={H. Bozdogan},
year={1994}
}

Analysis of clusters by means of mixture distribution, called mixture-model cluster analysis, has been one of the most difficult problems in statistics. But theoretical work, coupled with the development of new computational tools in the past ten years, has been made it possible to overcome some of the intractable technical and numerical issues that have limited the widespread applicability of mixture-model cluster analysis to complex real-word problems. The development of new objective… Expand