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Introduction to Pattern Recognition: A MATLAB Approach by Sergios Theodoridis, Aggelos Pikrakis, and Konstantinos Koutroumbas is a comprehensive introduction to the fundamental concepts and techniques of pattern recognition. The book presents both statistical and neural network–based approaches, with a strong emphasis on practical understanding. MATLAB is used extensively to illustrate algorithms and facilitate hands-on experimentation. Key topics include feature extraction, classification, clustering, and dimensionality reduction. By combining theoretical explanations with implementation examples, the book serves as a valuable resource for students and practitioners in signal processing, machine learning, and data analysis.