Computer Science – Learning
Scientific paper
2010-05-29
Computer Science
Learning
4 pages, no figure, to appear in ICEIE 2010
Scientific paper
This paper provides a theoretical explanation on the clustering aspect of nonnegative matrix factorization (NMF). We prove that even without imposing orthogonality nor sparsity constraint on the basis and/or coefficient matrix, NMF still can give clustering results, thus providing a theoretical support for many works, e.g., Xu et al. [1] and Kim et al. [2], that show the superiority of the standard NMF as a clustering method.
Furukawa Masashi
Mirzal Andri
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