faces_classify_pca

faces_classify_pca, a scikit-learn code which uses principal component analysis (PCA) to match new faces with images in the faces 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:

cancer_visualize_pca, a scikit-learn code which uses principal component analysis (PCA) of the cancer dataset to visualize the difference between malignant and benign cases.

faces_classify_knn, a scikit-learn code which uses the k-nearest neighbor 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:

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

• pca_components.png
• pca_reconstruction.png
• pca_scatter.png