Clustering in Python

This article was published as a part of the Data Science Blogathon. Cluster analysis or clustering is an unsupervised machine learning algorithm that groups unlabeled datasets. It aims to form clusters or groups using the data points in a dataset in such a way that there is high intra-cluster similarity and low inter-cluster similarity. In, layman terms clustering aims at forming subsets or groups within a dataset consisting of data points which are really similar to each other and the groups or subsets or clusters formed can be significantly differentiated from each other. Let's assume we have a dataset and we don't know anything about it.