Clustering
Abstract
Chapter 9 covers clustering, the goal of which is to learn an unknown, discrete-valued function f without observing its outputs. Since no observed outputs of f are available, clustering tends to be driven by algorithms and heuristics rather than by trying to minimize a meaningful measure of risk, as is done in classification.
Fields of Study & Subjects
Advanced Clustering Algorithms Research
Data Mining and Machine Learning Applications
Machine Learning and Algorithms
Publication details
- Journal / source
- Machine Learning
- Pages
- 193–202
- Publication date
- 22 January 2026
- Language
- EN