CS 449/549: Data Clustering

This is  the public webpage of the course taught at Portland State University by Sayan Bandyapadhyay. Please notify him about any corrections of the materials.

Syllabus

Lecture Slides:

1. Introduction

2. k-center 

3. k-median

4. k-means

5. Hierarchical Clustering

6. Dimensionality Reduction

7. Finding optimal number of clusters

8. Coresets for k-center Clustering

9. Coresets for k-median Clustering

10.  Fairness and Explainability

11. Parameterized Algorithms for clustering

12. Clustering with outliers