Description
The groundbreaking first edition of this work, launched in 1973, has firmly established itself as a quintessential reference in the domain of pattern classification. Now, with the release of the **Pattern Classification, 2nd Edition**, available in PDF format, readers can delve into a wealth of newly introduced topics that significantly enhance their understanding. This edition covers pivotal subjects such as neural networks, statistical pattern recognition, the intricacies of the theory of invariances, and the evolving landscape of machine learning.
This comprehensive resource also boasts a variety of practical features, including detailed worked examples, vibrant graphical representations, and thorough comparisons between various methodologies. Additionally, the expanded exercises and computer project topics ensure that both students and professionals alike have ample opportunities to apply their learning in real-world scenarios.
What Readers Are Saying
“…it offers a good introduction to the subject of Pattern Classification.” — Journal of Classification, September 2007
“…strongly recommended both as a text for students and as a professional reference…” — Technometrics, February 2002
“…a fantastic ebook! The presentation…could not be better, and I recommend that future authors consider…this ebook as a role model.” — Journal of Statistical Computation and Simulation, March 2006
Important Note: The product includes only the ebook, Pattern Classification 2nd Edition, in PDF format. Please be aware that no access codes are included.
This revised edition is not merely a continuation but a significant upgrade that caters to the needs of modern learners and practitioners in the field, making it an indispensable addition to any academic or professional library.
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