Chemometrics for Pattern Recognition. Cet article n’est pas disponible.Chemometrics for Pattern Recognition

Included within the text are:

• 'Real world' pattern recognition case studies from a wide variety of sources including biology, medicine, materials, pharmaceuticals, food, forensics and environmental science;
• Discussions of methods, many of which are also common in biology, biological analytical chemistry and machine learning;
• Common tools such as Partial Least Squares and Principal Components Analysis, as well as those that are rarely used in chemometrics such as Self Organising Maps and Support Vector Machines;
• Representation in full colour;
• Validation of models and hypothesis testing, and the underlying motivation of the methods, including how to avoid some common pitfalls.

Relevant to active chemometricians and analytical scientists in industry, academia and government establishments as well as those involved in applying statistics and computational pattern recognition.

Professor Richard Brereton, is the Professor of Chemometrics at the University of Bristol, UK
He is head of the Centre for Chemometrics which carries out a variety of research work including forensic science, biological pattern recognition, pharmaceutical sciences, plastics analysis and how data captured from instrumentation should be treated. In 2006 he received the Theophilus Redwood Lectureship from the Royal Society of Chemistry. He has published extensively in the literature, including publishing two previous books with Wiley in 2003 and 2007.