Combining Mixture Components for Clustering
نویسندگان
چکیده
منابع مشابه
Combining Mixture Components for Clustering.
Model-based clustering consists of fitting a mixture model to data and identifying each cluster with one of its components. Multivariate normal distributions are typically used. The number of clusters is usually determined from the data, often using BIC. In practice, however, individual clusters can be poorly fitted by Gaussian distributions, and in that case model-based clustering tends to rep...
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ژورنال
عنوان ژورنال: Journal of Computational and Graphical Statistics
سال: 2010
ISSN: 1061-8600,1537-2715
DOI: 10.1198/jcgs.2010.08111