Sparse and unique nonnegative matrix factorization through data preprocessing
GillisNicolas · Journal of Machine Learning Research · 2012
Nonnegative matrix factorization (NMF) has become a very popular technique in machine learning because it automatically extracts meaningful features through a sparse and part-based representation. ...