Question

Learning the parts of objects by non-negative matrix factorization

Answer 1

Here we can demonstrate a algorithm for non negative matrix factorization that able to learn parts of faces and semantic features of text.This is in contrast to other methods, such as principal components analysis and vector quantization, that learn holistic, not parts-based, representations.