vault backup: 2026-05-28 19:15:48

Running Start/CSB320 - Machine Learning Concepts/Class 5-28 (Clustering).md

@@ -35,4 +35,5 @@
 				- Use silhouette coefficient to determine separation of clusters $$S(j) = \frac{{\overline{d_{out}(j)} - \overline{d_{in}(j)}}}{max(\overline{d_{out}(j)}, \overline{d_{in}(j)})}$$
 				- $\overline{d_{out}(j)}$ is the average distance of the instance $i$ to the centroid of all other clusters
 				- $\overline{d_{in}(j)}$ is the average distance of the instance $i$ to all other instances in its cluster
+				- ![[SilhouetteMethod.excalidraw]]
 				-