diff --git a/Running Start/CSB320 - Machine Learning Concepts/Class 5-28 (Clustering).md b/Running Start/CSB320 - Machine Learning Concepts/Class 5-28 (Clustering).md
index f53e632..c9c526e 100644
--- a/Running Start/CSB320 - Machine Learning Concepts/Class 5-28 (Clustering).md	
+++ b/Running Start/CSB320 - Machine Learning Concepts/Class 5-28 (Clustering).md	
@@ -61,4 +61,14 @@
 				- clades, links, leaves
 		- does not assume spherical clusters
 		- sensitive to outliers
+	- DBSCAN
+		- density-based clustering method
+		- clusters are defined as high-density regions separated by low-density regions
+		- core points, border points and outliers
+			- outliers are not assigned a cluster and thrown away
+		- doesn't work very well if clusters have varying densities (low-density cluster could be assigned entirely as an outlier and removed)
+	- mean-shift clustering
+		- iteratively shifts centroids to higher density regions
+	- affinity propagation
+		- similarity matrix to compute responsibilities and availability's
 		- 
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