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

Table of Contents

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 Science
Data Analysis
Statistics
Data Science
Linear Algebra Mathematics
Trigonometry

Powered by ComboStrap