A symmetric nonnegative matrix factorization variant that learns weights over nearest-neighbor slices for similarity and dissimilarity, plus a column-wise orthogonality regularizer, improves clustering on eight benchmarks.
Learning the parts of objects by non-negative matrix factorization,
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Learnable Similarity and Dissimilarity Guided Symmetric Non-Negative Matrix Factorization
A symmetric nonnegative matrix factorization variant that learns weights over nearest-neighbor slices for similarity and dissimilarity, plus a column-wise orthogonality regularizer, improves clustering on eight benchmarks.