A deterministic information bottleneck framework for sparse clustering that performs joint feature weighting and grouping, shown competitive on synthetic data and effective on genomics.
Advances in Neural Information Processing Systems 12 (1999)
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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.