{"product_id":"konstantinos-koutroumbas-pattern-recognition-9781597492720","title":"Pattern Recognition","description":"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. · Thoroughly developed to include many more worked examples to give greater understanding of the various methods and techniques · Many more diagrams included--now in two color--to provide greater insight through visual presentation · Matlab code of the most common methods are given at the end of each chapter. · More Matlab code is available, together with an accompanying manual, via this site · Latest hot topics included to further the reference value of the text including non-linear dimensionality reduction techniques, relevance feedback, semi-supervised learning, spectral clustering, combining clustering algorithms. · An accompanying book with Matlab code of the most common methods and algorithms in the book, together with a descriptive summary, and solved examples including real-life data sets in imaging, and audio recognition. The companion book will be available separately or at a special packaged price (ISBN: 9780123744869).","brand":"Elsevier Science","offers":[{"title":"Used - good","offer_id":53427440124246,"sku":"9781597492720-G","price":11.79,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0925\/5829\/5382\/files\/product_image_9781597492720_1_7c57cde6-89db-4f45-8626-9d2471cd5100.jpg?v=1778087856","url":"https:\/\/www.momoxbooks.com\/products\/konstantinos-koutroumbas-pattern-recognition-9781597492720","provider":"momoxbooks","version":"1.0","type":"link"}