Introduction to K-means Clustering

This article will answer these questions. Apart from all this, we will also learn more about K-means clustering and its implementation by defining K-means fit function. Clustering is an unsupervised learning technique. It is used to group different data points based on similar features or characteristics. For example, A company wants to know to whom they should display a particular ad such the chances of clicking it increases. Now suppose you have all the user's clusters with the ads each group mostly clicks.