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A comprehensive, up-to-date textbook on pattern recognition, covering supervised, unsupervised, and semi-supervised methods. The fourth edition expands on classical theory and includes modern topics such as nonlinear dimensionality reduction, semi-supervised learning, spectral clustering, and relevance feedback. It provides many worked examples, graphical explanations, and MATLAB code for major algorithms — making it a valuable resource for students, researchers, and professionals in machine learning, signal processing, and data science

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245: $a: Pattern Recognition
245: $b:
082: $a:
100: $a: Sergios Theodoridis & Konstantinos Koutroumbas
650: $a: Computer science
250: $a:
440: $v:
250: $b: Academic Press (an imprint of Elsevier)
250: $c: 2008
020: $a: 9781597492720
300: $a: 984