A deterministic information bottleneck framework for sparse clustering that performs joint feature weighting and grouping, shown competitive on synthetic data and effective on genomics.
In: Proceedings of the 37th Annual Allerton Conference on Communication, Control and Computing
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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.