This book considers classical and current theory and practice of bothsupervised and unsupervised pattern recognition to build a complete backgroundfor professio... » 

This book considers classical and current theory and practice of bothsupervised and unsupervised pattern recognition to build a complete backgroundfor professionals and students of engineering. The authors leading experts inthe field of pattern recognition have provided an uptodate selfcontainedvolume encapsulating this wide spectrum of information. The very latest methodsare incorporated in this edition semisupervised learning combiningclustering algorithms and relevance feedback. This edition includes many moreworked examples and diagrams in two colour to help give greater understandingof the methods and their application. Computerbased problems will be includedwith MATLAB code. An accompanying book contains extra worked examples andMATLAB code of all the examples used in this book. «