Unlike classification and prediction, which analyze class-labeled data objects, clustering analyzes data objects without consulting a known class label. The objects are clustered based on the principle of maximizing the intra class similarity and minimizing the interclass similarity.
Example 5
Above figure shows four data clusters of customers who visit a particular website according to age and income.