faces_classify_knn

faces_classify_knn, a scikit-learn code which uses the k-nearest neighbor algorithm 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_classify_knn, a scikit-learn code which uses the k-nearest neighbor algorithm on the breast cancer dataset, comparing the training and testing accuracy as the number of neighbors is increased.

forge_classify_knn, a scikit-learn code which uses the k-nearest neighbor algorithm to choose one of two classes for each of 26 items in the forge dataset, involving two features.

iris_classify_knn, a scikit-learn code which uses the k-nearest neighbor algorithm to classify the species of iris specimens based on sepal and petal measurements.

wave_regression_knn, a scikit-learn code which uses the k-nearest neighbor algorithm to form a regression predictor for the wave dataset.

Reference:

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

Source Code:

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

• faces_sample.png