Two Improvements of NMF Used for Tumor Clustering∗
نویسندگان
چکیده
Non-negative Matrix Factorization (NMF) is one of the promising methods used in data mining, such as clustering human tumor samples into different types or subtypes based on microarray technology. In this paper we briefly review this method, especially when it is used for tumor clustering, and present two small but effective improvements.
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