ποΈ Week 08 - Clustering
Theme: Unsupervised Learning
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 (March 11th at 5pm).
π©π»βπ« Lecture Material
π₯ Looking for lecture recordings? You can only find those on Moodle, typically a day after the lecture. If you canβt find the recordings, please contact π§ .
Download the full lecture Jupyter Notebook:
Download the dataset:
For a useful resource on clustering, see the scikit-learn documentation