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 very latest methods are incorporated in this edition: semi-supervised learning, combining clustering algorithms, and.
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.
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