πŸ—“οΈ Week 08 - Clustering

Theme: Unsupervised Learning

Author

Dr. Ghita Berrada

Welcome to the eighth week of this course!

This week, we turn our sights to another family of unsupervised learning techniques: clustering. We learn about what clustering is, when it is used and discover some of the most representative clustering algorithms i.e k-means and DBSCAN.

Your first summative is due this week on November 21st at 5pm.

πŸ‘©πŸ»β€πŸ« Lecture Material

πŸŽ₯ Looking for lecture recordings? You can only find those on Moodle, typically a day after the lecture. If you can’t find the recordings, please contact πŸ“§ .

To minimize setup issues and allow for faster execution times, this week’s lecture notebook (LSE_DS202A_2025_2026_W08_lecture.qmd) can be found on Nuvolos.