29  Clustering

Author

Affiliation

Vladimir Buskin

Catholic University of Eichstätt-Ingolstadt

29.1 Recommended reading

James et al. (2021): Chapter 12

Hastie, Tibshirani, and Friedman (2017): Chapters 14.3.6, 14.3.10 & 14.3.12

29.2 Preparation

29.3 Clustering algorithms

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29.3.1 \(k\)-means

29.3.2 Partitioning around medoids (PAM)

29.3.3 Hierarchical agglomerative clustering

Hastie, Trevor, Robert Tibshirani, and Jerome H. Friedman. 2017. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. 2nd ed. New York, NY: Springer.

James, Gareth, Daniela Witten, Trevor Hastie, and Robert Tibshirani. 2021. An Introduction to Statistical Learning: With Applications in r. New York: Springer. https://doi.org/10.1007/978-1-0716-1418-1.