Books like Pattern classification and scene analysis by Richard O. Duda

Pattern Classification and Scene Analysis offers a unified treatment of the theoretical principles underpinning modern pattern recognition. It explores Bayesian decision theory, supervised and unsupervised learning, nonparametric techniques, discriminant analysis, and clustering, providing a solid foundation for graduate students and professionals. The second part focuses on automatic scene analysis, detailing preprocessing of pictorial data, spatial filtering, shape-description techniques, perspective transformations, projective invariants, linguistics procedures, and artificial intelligence methods. With illustrative examples, plausibility arguments, and extensive bibliographic references, the book balances mathematical rigor with practical insight, making it valuable for researchers and practitioners in computer science, electrical engineering, statistics, psychology, biomedical science, meteorology, and biology.

First publish date: 1973