Unsupervised Learning

Learning Objectives

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

• Distinguish between unsupervised and supervised learning
• Implement different techniques applied in clustering, such as soft and hard clustering, monothetic and polythetic clustering, and bottom-up versus top-down clustering
• Perform k-means clustering
• Compare performance using DIANA, AGNES, and k-means

In this chapter, we aim to equip you with a practical understanding of unsupervised learning.