Machine Learning Section 009

Clustering in Depth

Finding groups nobody labelled, and knowing how many groups there really are.

8 of 8 lessons published Three reading levels on every lesson

Start with “K-means initialisation and local minima”

Lessons in order

Work top to bottom. Each lesson assumes the one above it.

  1. K-means initialisation and local minima
  2. How many clusters?
  3. Gaussian mixture models
  4. Expectation-maximisation
  5. HDBSCAN
  6. Clustering mixed numeric and categorical data
  7. Comparing clusters to known labels
  8. Using clusters as features