# Introduction We got familiar with the algorithms commonly used in regression and classification in supervised learning. Next we will lead you to learn unsupervised learning: clustering. In this experiment, we first explain the most commonly used centroid-based clustering method, and then introduce the most representative K-Means algorithm and other members of the family in detail.
Click the virtual machine below to start practicing