In this video, we will be understanding the K-means clustering algorithm in detail. 

The unsupervised learning algorithm K-Means Clustering divides the unlabeled dataset into various clusters. 

A data set of items with specific attributes and values for these features is provided to us (like a vector). The objective is to classify those products into categories. We will use the K-means algorithm, an unsupervised learning tool, to do this. The number of groups or clusters we wish to divide our items into is indicated by the letter "K" in the algorithm's name. 

K-Means Clustering - https://www.geeksforgeeks.org/k-means-clustering-introduction/