GMCM: Unsupervised Clustering and Meta-Analysis Using Gaussian Mixture Copula Models
نویسندگان
چکیده
منابع مشابه
GMCM: Unsupervised Clustering and Meta-Analysis using Gaussian Mixture Copula Models
Methods for unsupervised clustering is an important part of the statistical toolbox in numerous scientific disciplines. Tewari, Giering, and Raghunathan (2011) proposed to use so-called Gaussian Mixture Copula Models (GMCM) for general unsupervised clustering. Li, Brown, Huang, and Bickel (2011) independently discussed a special case of these GMCMs as a novel approach to meta-analysis in high-d...
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ژورنال
عنوان ژورنال: Journal of Statistical Software
سال: 2016
ISSN: 1548-7660
DOI: 10.18637/jss.v070.i02