digits_visualize_pca

digits_visualize_pca, a scikit-learn code which uses principal component analysis (PCA) of the digits dataset to visualize the grouping of data.

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_pca, a scikit-learn code which uses principal component analysis (PCA) 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:

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

• digits_data.png,
• digits_pca.png,