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

@@ -48,5 +48,17 @@
 		- does not require number of clusters, requires stopping point
 		- Agglomerative
 			- starts with each instance as cluster and merges into larger clusters
+			- measures distances between all clusters and merges closest two into new cluster
 		- divisive
-			- starts with one cluster and splits into 
+			- starts with one cluster and splits into smaller clusters
+		- linkage methods
+			- measure distance between two closes instances
+			- measure distance between two farthest instances
+			- distance between each cluster's centroid
+		- dendrograms
+			- used to visualize clustering hierarchy
+			- basically just a cladogram
+				- clades, links, leaves
+		- does not assume spherical clusters
+		- sensitive to outliers
+		-