On -divergence based nonnegative matrix factorization for clustering cancer gene expression data

Author:

Liu Weixiang,Yuan Kehong,Ye Datian

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference27 articles.

1. Learning the parts of objects by non-negative matrix factorization;Lee;Nature,1999

2. Positive matrix factorization: a non-negative factor model with optimal utilization of error estimates of data values;Paatero;Environmetrics,1994

3. Nonnegative matrix factorization and its applications in pattern recognition;Liu;Chin Sci Bull,2006

4. Algorithms and applications for approximate nonnegative matrix factorization;Berry;Comput Stat Data Anal,2007

5. Sra, S, Dhillon, IS. Nonnegative matrix approximation: Algorithms and applications, TR-06-27, UTCS; 2006. URL http://www.cs.utexas.edu/ftp/pub/techreports/tr06-27.pdf(Accessed: December 2, 2007).

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