signal_classify_nmf

signal_classify_nmf, a scikit-learn code which uses non-negative matrix factorization (nmf) to match new signals to items in the signal dataset.

Licensing:

The computer code and data files described and made available on this web page are distributed under the MIT license

Related Data and Programs:

faces_classify_nmf, a scikit-learn code which uses the nonnegative matrix factorization algorithm to match new faces with images in the faces dataset.

Reference:

• Andreas Mueller, Sarah Guido,
  Introduction to Machine Learning with Python,
  OReilly, 2017,
  ISBN: 978-1-449-36941-5

Source Code:

• signal_classify_nmf.py, the source code.
• signal_classify_nmf.sh, runs the script.
• signal_classify_nmf.txt, the output file.

• signal_comparison.png
• signal_dataset.png