Pattern Classification [Hardcover]

The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics.Unter Musterklassifikation versteht man die Zuordnung eines physikalischen Objektes zu einer von mehreren vordefinierten Kategorien. Auf dieser Grundlage k?nnen Computer Muster erkennen. Das Interesse an diesem Forschungsgebiet hat in den letzten Jahren, besonders im Zuge der Weiterentwicklung neuronaler Netze, stark zugenommen. Die umfassend ?berarbeitete, erweiterte und jetzt zweifarbig gestaltete Neuauflage beschreibt alle wesentlichen Aspekte der Mustererkennung systematisch und verst?ndlich. Mit L?sungsheft! (01/00)Bayesian Decision Theory.

Maximum-Likelihood and Bayesian Parameter Estimation.

Nonparametric Techniques.

Linear Discriminant Functions.

Multilayer Neural Networks.

Stochastic Methods.

Nonmetric Methods.

Algorithm-Independent Machine Learning.

Unsupervised Learning and Clustering.

Appendix.

Index. ...it provides a good introduction to the subject of Pattern Classification. (Journal of Classification, September 2007)

...a fantastic book! The presentation...could not be better, and I recommend that future authors consider...this book as a role model. (Journal of Statistical Computation and Simulation, March 2006)

...strongly recommended both as a professional reference and as a text for students... (Technometrics, February 2002)

...provides information needed tol-