Info-Clustering: A Mathematical Theory for Data Clustering.
IEEE Transactions on Molecular, Biological and Multi-Scale Communications(2016)
摘要
We formulate an info-clustering paradigm based on a multivariate information measure, called multivariate mutual information, that naturally extends Shannon’s mutual information between two random variables to the multivariate case involving more than two random variables. With proper model reductions, we show that the paradigm can be applied to study the human genome and connectome in a more mean...
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关键词
Mutual information,Clustering algorithms,Random variables,Bioinformatics,Genomics,Biological information theory
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