9 - Unsupervised Learning

Summary

Chapter 9 is devoted to evaluation methods for an important category of classical learning paradigms left out of Chapter 8 so as to receive fuller coverage: unsupervised learning. In this chapter, a number of different unsupervised learning schemes are considered and their evaluation discussed. The particular tasks considered are clustering and hierarchical clustering, dimensionality reduction, latent variable modeling, and generative models including probabilistic PCA, variational autoencoders, and GANs. Evaluation methodology is discussed discussed for each of these tasks.