Evolutionary Monte Carlo Methods for Clustering
نویسندگان
چکیده
منابع مشابه
Evolutionary Monte Carlo Methods for Clustering
The problem of clustering a group of observations according to some objective function (e.g., K -means clustering, variable selection) or a density (e.g., posterior from a Dirichlet process mixture model prior) can be cast in the framework of Monte Carlo sampling for cluster indicators. We propose a new method called the evolutionary Monte Carlo clustering (EMCC) algorithm, in which three new “...
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ژورنال
عنوان ژورنال: Journal of Computational and Graphical Statistics
سال: 2007
ISSN: 1061-8600,1537-2715
DOI: 10.1198/106186007x255072