Overview of Clustering Algorithms

Clustering is an unsupervised technique in which the set of similar data points is grouped together to form a cluster. A Cluster is said to be good if the intra-cluster (the data points within the same cluster) similarity is high and the inter-cluster (the data points outside the cluster) similarity is low. Clustering could also be viewed as a Data Compression technique in which the data points of a cluster can be treated as a group. Clustering is also called Data Segmentation because it partitions the data such that a group of similar data points forms a cluster. Classification Algorithms are good techniques to distinguish between groups and classify.