Identifying Restaurant Hotspots with a Gaussian Mixture Model

Using a GMM to identify intuitive restaurant clusters in Toronto, Canada (with Python code)

Clustering algorithms, such as GMMs, are a useful tool to help identify patterns in your data. They allow us to identify subgroups within the dataset that can improve your understanding or enhance predictive models. In this article, with some help from a GMM, we will attempt to identify restaurant clusters in Toronto using location data. The goal is to find clusters that make…