Choosing k: Elbow Rule vs Silhouette
This lesson is part of the course
In this lesson
You compare two ways of picking the number of clusters for Tallow's 48-store network: the elbow in WCSS and the best average silhouette.
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Lessons in this course
- Distance Matrices: Euclidean, Manhattan & Why Scaling Comes First Locked
- Agglomerative Clustering: Single vs Complete Linkage, Step by Step Locked
- Reading a Dendrogram: Merge Heights, the Largest Gap & Cluster Labels Locked
- Silhouette Score per Store: a, b, s and the Average Locked
- Choosing k: Elbow Rule vs Silhouette Locked
- k-Medoids (PAM): Total Cost and One Swap Step Locked
- DBSCAN by Hand: eps, minPts and Core, Border & Noise Points Locked
- Cluster Profiling and a Scatter Chart Coloured by Cluster Locked