Lesson 19 of 21 · Part V, Deep learning and beyond

Unsupervised learning — K-means and SOM

Clustering as vector quantization: Voronoi cells, quantization error, on-line and batch K-means; then Self-Organizing Maps, which preserve topology and make it possible to visualize the data.

9 figures to manipulate.

In this lesson

• Unsupervised learning
• Vector quantization
• K-means
• Self-Organizing Map
• Evaluating a clustering (outline)

Other lessons

Randomized neural networks · Recurrent neural networks (RNN) · All lessons

Notes by Fabio Piscitelli — Machine Learning (654AA), Prof. Alessio Micheli, University of Pisa, a.y. 2026/27.