K-means Clustering

Clustering is an unsupervised Machine Learning model that groups similar items in some groups based on some kind of metric. Clustering is a common way to explore your data when your data is unlabeled. Clustering itself is not one specific algorithm, but the general task to be solved. It can be achieved by various algorithms that differ significantly in their understanding of what constitutes a cluster and how to efficiently find them.

Clustering is a group of algorithms that focuses on grouping similar items. Among them, the most famous algorithm is k-means. In this lesson, we will focus on this algorithm, and do some extended discussion.