![]() ![]() This limits their use by the wider research community. However, most NMF implementations have been on commercial platforms, while those that are freely available typically require programming skills. Developments in NMF theory and applications have resulted in a variety of algorithms and methods. Recent applications of NMF in bioinformatics have demonstrated its ability to extract meaningful information from high-dimensional data such as gene expression microarrays. Nonnegative Matrix Factorization (NMF) is an unsupervised learning technique that has been applied successfully in several fields, including signal processing, face recognition and text mining.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |