Textbook of AI

8.19 Further reading

• Bishop, Pattern Recognition and Machine Learning, chapters 9 (mixture models and EM) and 12 (continuous latent variables).
• Hastie, Tibshirani and Friedman, The Elements of Statistical Learning, chapter 14 (unsupervised learning).
• Murphy, Probabilistic Machine Learning: Advanced Topics, chapters on dimensionality reduction and clustering.
• van der Maaten and Hinton, Visualizing data using t-SNE (JMLR 2008).
• McInnes, Healy and Melville, UMAP: Uniform Manifold Approximation and Projection (arXiv:1802.03426).
• Blei, Ng and Jordan, Latent Dirichlet Allocation (JMLR 2003).
• Goodfellow, Bengio and Courville, Deep Learning, chapter 14 (autoencoders) and chapter 15 (representation learning).