Data Mining - Non-Negative Matrix Factorization (NMF) Algorithm

1 - About

A Unsupervised Feature Extraction algorithm.

Non-Negative Matrix Factorization (NMF):

  • generates new attributes using linear combinations of the original attributes.
  • Creates new attributes that represent the same information using fewer attributes

The coefficients of the linear combinations are non-negative.

During model apply, an NMF model maps the original data into the new set of attributes (features) discovered by the model.

data_mining/non-negative_matrix_factorization.txt · Last modified: 2017/11/17 10:57 by gerardnico