Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
4639035 | Journal of Computational and Applied Mathematics | 2014 | 18 Pages |
Abstract
This paper proposes a convergent algorithm for nonnegative matrix factorization (NMF) with orthogonality constraint on the factors. We design the algorithm based on the additive update rule algorithm for the standard NMF proposed by Lee and Seung, and derive the convergent version by generalizing the convergence proof of the algorithm developed by Lin. Further we use the proposed algorithms to improve clustering capability of the standard NMF using the Reuter document corpus, a standard dataset in clustering research.
Keywords
Related Topics
Physical Sciences and Engineering
Mathematics
Applied Mathematics
Authors
Andri Mirzal,