Efficient information-theoretic unsupervised feature selection

초록

The method proposed in this Letter selects a feature subset that preserves the data quality in the viewpoint of information theory. Using an efficient information-theoretic evaluation, the proposed method identifies the final feature subset significantly faster than conventional methods.

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