Double feature selection algorithm based on low-rank sparse non-negative matrix factorization

Recently, many feature selection algorithms based on non-negative matrix factorization have been proposed. However, many of these algorithms only consider unilateral information about global or local geometric structure normally. To this end, this paper proposes a new feature selection algorithm cal...

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