DDE-1/Clustering.md

@@ -90,8 +90,10 @@ One of the most common measures is the Euclidean distance, giving the dissimilar
 
 ```math
 Distance(x_{i},x_{i'}) =  \sum_{m=1}^{M} \Delta_m (x_{im},x_{i'm})
+
 where:
-Delta_m = (x_{im},x_{i'm})^2
+
+\Delta_m = \sqrt((x_{im},x_{i'm})^2)
 
 ```