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Simultaneous Clustering and Estimation of Heterogeneous Graphical Models

We consider joint estimation of multiple graphical models arising from heterogeneous and high-dimensional observations. Unlike most previous approaches which assume that the cluster structure is given in advance, an appealing feature of our method is to learn cluster structure while estimating heter...

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Pubblicato in:J Mach Learn Res
Autori principali: Hao, Botao, Sun, Will Wei, Liu, Yufeng, Cheng, Guang
Natura: Artigo
Lingua:Inglês
Pubblicazione: 2018
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC6338433/
https://ncbi.nlm.nih.gov/pubmed/30662373
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