[PDF] Document Clustering Based On Non-negative Matrix Factorization
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In this paper, we propose a novel document clustering method based on the non-negative factorization of the term- document matrix of the given document corpus.
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In this paper, we propose a novel non-negative matrix factorization (NMF) to the affinity matrix for document clustering, which enforces non-negativity and ...
Jul 28, 2003 · In this paper, we propose a novel document clustering method based on the non-negative factorization of the term-document matrix of the ...
Document Clustering Based on Spectral Clustering and Non ...
www.semanticscholar.org › paper › Doc...
A novel non-negative matrix factorization to the affinity matrix for document clustering, which enforces non-negativity and orthogonality constraints ...
Abstract. In this paper, we propose a novel non-negative matrix factorization. (NMF) to the affinity matrix for document clustering, which enforces non-.
This paper proposes a novel document clustering method based on the non-negative factorization of the term-document matrix of the given document corpus that ...
In this paper, we propose a novel document clustering method based on the non-negative factorization of the term-document matrix of the given document ...
Jun 18, 2008 · In this paper, we propose a novel non-negative matrix factorization (NMF) to the affinity matrix for document clustering, which enforces ...
Document clustering using nonnegative matrix factorization
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A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented.
The clustering aspect of NMF is also studied in [14, 10]. In this paper, we provide a systematic analysis and ex- tensions of NMF and show that NMF is ...