A Quick Tutorial on Clustering for Data Science Professionals

This is article was published as a part of the Data Science Blogathon. Welcome to this wide-ranging article on clustering in data science! There's a lot to unpack so let's dive straight in. In this article, we will be discussing what is clustering, why is clustering required, various applications of clustering, a brief about the K Means algorithm, and finally in detail practical implementations of some of the applications using clustering. Let's go ahead and understand this with an example, suppose you are on a trip with your friends all of you decided to hike in the mountains, there you came across a beautiful butterfly which you have never seen before.