Chapter 4. Detecting Patterns with Unsupervised Learning

In this chapter, we are going to learn about unsupervised learning and how to use it in the real world. By the end of this chapter, you will know these things:

• What is unsupervised learning?

• Clustering data with K-Means algorithm

• Estimating the number of clusters with Mean Shift algorithm

• Estimating the quality of clustering with silhouette scores

• What are Gaussian Mixture Models?

• Building a classifier based on Gaussian Mixture Models

• Finding subgroups in stock market using Affinity Propagation model

• Segmenting the market based on shopping patterns