Machine Learning Cheat Sheet — Unsupervised Learning

Unsupervised Learning

This is a summary of the unsupervised learning techniques, it mainly discusses and compares the differences for different clustering methodologies.

K-Means Clustering

1. Assign: set K centroids randomly, assign each point to a centroid which is closest to the point
2. Optimize: moving the centroids to optimize the distances that are assigned to them
3. Repeat step 1 and 2: reassign the points to the…