Unsupervised Learning Through Clustering

Pattern identification—revisited

Let’s look at an interesting possibility. Suppose you have been hired as an ML engineer at Meta, and you have been tasked to identify the social communities of the users of the Facebook app. The goal is to find groups of users who share similar interests and are connected as friends on the social network. You have decided to use one of the pattern identification methods and the ML process learned previously.

Let’s look at the data plot of Facebook users across the city. Do you see any patterns in the data? Can you identify groups of users that may form the same community based on their mutual friends and the content they like?