Multivariate Information Bottleneck

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Multivariate Information Bottleneck

The information bottleneck (IB) method is an unsupervised model independent data organization technique. Given a joint distribution, p(X, Y), this method constructs a new variable, T, that extracts partitions, or clusters, over the values of X that are informative about Y. Algorithms that are motivated by the IB method have already been applied to text classification, gene expression, neural co...

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The Information bottleneck method is an unsupervised non-parametric data organization technique. Given a joint distribution P (A;B), this method constructs a new variable T that extracts partitions, or clusters, over the values of A that are informative about B. In a recent paper, we introduced a general principled framework for multivariate extensions of the information bottleneck method that ...

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Co-clustering has emerged as an important approach for mining contingency data matrices. We present a novel approach to co-clustering based on the Information Bottleneck principle, called Information Bottleneck Co-clustering (IBCC), which supports both soft-partition and hardpartition co-clusterings, and leverages an annealing-style strategy to bypass local optima. Existing co-clustering method...

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ژورنال

عنوان ژورنال: Neural Computation

سال: 2006

ISSN: 0899-7667,1530-888X

DOI: 10.1162/neco.2006.18.8.1739