Chapter 3
Neighborhood Approaches and DBSCAN

Learning Objectives

By the end of this chapter, you will be able to:

• Understand how neighborhood approaches to clustering work from beginning to end
• Implement the DBSCAN algorithm from scratch by using packages
• Identify the best suited algorithm from k-means, hierarchical clustering, and DBSCAN to solve your problem

In this chapter, we will have a look at DBSCAN clustering approach that will serve us best in the highly complex data.