Chapter 18. Clustering based on density: DBSCAN and OPTICS
This chapter covers
- Understanding density-based clustering
- Using the DBSCAN and OPTICS algorithms
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: partitioning a dataset into a finite set of clusters that reveals a grouping structure in our data.