Pattern Recognition & amp; Matlab Intro

This book is a classical and unsupervised pattern recognition, a build and a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have been provided with the broad spectrum of information. The very latest methods are: semi-supervised learning, combining clustering algorithms, and relevance feedback.

This edition includes many more worked examples and diagrams (in two color) to help give greater understanding of the methods and their application. Computer-based problems will be included with MATLAB code. The accompanying book contains extra working examples. MATLAB.

This specially priced set includes a copy of Theodoridis / Koutroumbas, Pattern Recognition 4e and Theodoridis / Pikrakis / Koutroumbas / Cavouras, Introduction to Pattern Recognition: A Matlab Approach.

The main text of the book provides a wide range of concepts and applications, including modern topics such as non-linear dimensionality reduction techniques, relevance feedback, semi-supervised learning, spectral clustering, and combining clustering algorithms. Together with worked examples, exercises, and Matlab applications It provides the most comprehensive coverage currently available.

The accompanying manual includes MATLAB code of the most common problems in the book, together with real recognition and imaging.