Python for Machine Learning - The Complete Beginners Course - K-Means Clustering Algorithm

The video tutorial explains the concept of clustering unlabeled data into K different clusters using an iterative algorithm. It describes how the process allows data to be grouped without the need for training, and outlines the steps involved in care clustering, including partition clustering and creating non-overlapping regions.

What does it mean for clusters to have similar properties?

Explain the significance of having non-overlapping regions in clustering.