This chapter covers:
- What is density-based clustering?
- How do the DBSCAN and OPTICS algorithms work?
Our penultimate stop in unsupervised learning techniques brings us to density-based clustering. Density-based clustering algorithms aim to achieve the same thing as k-means and hierarchical clustering: to partition a dataset into a finite set of clusters that reveal a grouping structure in our data.