Author: Richard O. Duda
Publisher:
Publish Date: 2004-02-01
Features: This book is concise and easy to read, with newly added figures that make many statistical and mathematical topics vivid. It guides readers into new subjects in a perfect and harmonious form. It includes a large number of practical examples. Pattern recognition algorithms are presented in pseudocode. It expands on key exercises and computer exercises related to the main text. This book clearly explains both classical and new methods in pattern recognition, including neural networks, stochastic methods, genetic algorithms, and machine learning theory. It provides a large number of two-color figures to highlight various concepts. It includes a large number of practical examples. Pattern recognition algorithms are presented in pseudocode. It expands on key exercises and computer exercises related to the main text. Special pattern recognition and machine learning techniques are explained in algorithmic form. Each chapter is followed by a literature review and important references. The appendix supplements the necessary mathematical foundations.
Pattern Classification (English Version·Second Edition) (English Version)
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