Pattern Recognition Av Konstantinos (Institute For Space Applications & Remote Sensing National Observatory Of Athens Greece) Koutroumbas, Sergios

This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods are incorporated in this edition: semi-supervised learning, combining clustering algorithms, and relevance feedback. <br><br>¿ Thoroughly developed to include many more worked examples to give greater understanding of the various methods and techniques<br>¿ Many more diagrams included--now in two color--to provide greater insight through visual presentation<br>¿ Matlab code of the most common methods are given at the end of each chapter.<br>¿ More Matlab code is available, together with an accompanying manual, via this site <br>¿ Latest hot topics included to further the reference value of the