Parallel Non Negative Matrix Factorization for Document Clustering

Abstract

Non-negative matrix factorization has been used as an effective approach for document clustering lately. One advantage of this method is that clustering results can be directly concluded from the factor matrices. This project gives parallel implementation of three algorithms for Non-negative matrix factorization. Experiments of these parallel algorithms for… (More)

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