Numerical measures that are applied to judge various aspects

of cluster validity, are classified into the following two types.

External Index: Used to measure the extent to which cluster labels

match externally supplied class labels.

Entropy

Internal Index: Used to measure the goodness of a clustering

structure without respect to external information.

Sum of Squared Error $($SSE$)$

You can use external or internal indices to compare clusters or

clusterings