A deterministic information bottleneck framework for sparse clustering that performs joint feature weighting and grouping, shown competitive on synthetic data and effective on genomics.
Journal of the Royal Statistical Society Series B: Statistical Method- ology 66(4), 815–849 (2004)
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Sparse clustering via the Deterministic Information Bottleneck algorithm
A deterministic information bottleneck framework for sparse clustering that performs joint feature weighting and grouping, shown competitive on synthetic data and effective on genomics.