Pattern Analysis and Machine Intelligence (2013)
Here you will find slides and handouts for the Clustering lessons. If you want more information about the course please check this page.
- Lesson 1: Introduction to Clustering and K-Means (slides, handouts)
- Lesson 2: K-Means alternatives, Hierarchical, SOM (slides, handouts)
- Lesson 3: Mixture of Gaussians, DBSCAN, Jarvis-Patrick (slides, handouts)
- Lesson 4: Text Clustering (slides, handouts), Spectral Clustering (slides)
- Lesson 5: Evaluation Measures (slides, handouts)
- Additional material: K-means and Spectral Clustering demos for octave (archive)