Introduction to Clustering & K-Means

Explore the world of Clustering and K-Means in this brief 20 min video lesson! This video will guide you through the fundamentals of clustering and it's applications, with a special focus on the popular K-Means algorithm. Whether you're a beginner or an experienced data scientist, you'll gain valuable insights into this essential unsupervised learning technique.
Join us on this journey to master the art of Clustering!
🧠 Key Topics Covered:
Introduction to Clustering
Real-world applications in retail & Customer Segmentation
Principles of Good Clustering (Internal Cohesion & External Separation)
K-Means algorithm explained
Advanced topics: K-Means++, Elbow Method, and more
Limits of K-Means and Overview of Clustering
🔗 Timestamps:
00:08 Introduction to Clustering
03:08 Principles of Good Clustering
06:16 K-Means Algorithm Explained
12:44 K-Means++
14:40 Elbow Method for Optimal Clusters
17:33 Failure Modes of K-Means
18:18 Other Clustering Techniques

[@Planner-William]

Thanks for the great content! The visuals and examples were super helpful. Gonna try this out on my customer segmentation data.