Author: Richard ODuda
Publisher:
Publishing Time: Not available
Features: This book is concise and easy to read, with new charts making 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 classic and new methods in pattern recognition, including neural networks, random methods, genetic algorithms, and machine learning theory. It provides numerous two-color charts 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 concludes with a historical review of the literature and important references. The appendix supplements the necessary mathematical foundations.
Pattern Classification (English Version. 2nd Edition)
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