Week 10: Clustering

DATA 442/642 · Week 10

Module 5 — Clustering

Notes

• 10.1 Clustering and K-Means(slides)
• 10.2 Clustering for Image Segmentation(slides)
• 10.3 Other Clustering Algorithms(slides)
• 10.4 Clustering and Semi-Supervised Learning(slides)

Homework

• Homework 5(PDF)

Additional

• Clustering(PDF)

Discussion

• k-means assumes spherical clusters. Give a data set where that is wrong.
• What do you do when k is not given?