Coursera Public Lesson-machine_learing: Programming 7

This week's programming work is mainly two-part content.

1.k-means Clustering.

2.PCA (Principle Component analys) principal component analysis.

The main method is to compress the image by clustering the image, and then it is found that PCA can compress the image by extracting the main eigenvalue. Interesting, see the other two blog posts in this category, image compression methods.

The code is on the Gitlab, and the notes are on the code and the PDF.

Coursera Public Lesson-machine_learing: Programming 7