Clustering is a very popular technique in data science because of its unsupervised characteristic – we don’t need true labels of groups in data. In this blog post, I will give you a “quick” survey of various clustering methods applied to synthetic but also real datasets.
Read on for a quick description of what clustering is and a few use cases. Then, Peter dives into a variety of techniques and important things you should know about them. H/T R-Bloggers.