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Chemometrics for Pattern Recognition
Hans-Georg Elias
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Description for Chemometrics for Pattern Recognition
Hardcover. This is the only major text in the area of chemometrics published over the last decade focusing exclusively on pattern recognition. The coverage uses real world pattern recognition case studies, often involving quite large and complex datasets. Num Pages: 522 pages, Illustrations. BIC Classification: PBT; PNF. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly. Dimension: 250 x 175 x 31. Weight in Grams: 1286.
Over the past decade, pattern recognition has been one of the fastest growth points in chemometrics. This has been catalysed by the increase in capabilities of automated instruments such as LCMS, GCMS, and NMR, to name a few, to obtain large quantities of data, and, in parallel, the significant growth in applications especially in biomedical analytical chemical measurements of extracts from humans and animals, together with the increased capabilities of desktop computing. The interpretation of such multivariate datasets has required the application and development of new chemometric techniques such as pattern recognition, the focus of this work.
Over the past decade, pattern recognition has been one of the fastest growth points in chemometrics. This has been catalysed by the increase in capabilities of automated instruments such as LCMS, GCMS, and NMR, to name a few, to obtain large quantities of data, and, in parallel, the significant growth in applications especially in biomedical analytical chemical measurements of extracts from humans and animals, together with the increased capabilities of desktop computing. The interpretation of such multivariate datasets has required the application and development of new chemometric techniques such as pattern recognition, the focus of this work.
Included within ... Read more
- ‘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.
Show LessProduct Details
Format
Hardback
Publication date
2009
Publisher
John Wiley and Sons Ltd United Kingdom
Number of pages
522
Condition
New
Number of Pages
522
Place of Publication
New York, United States
ISBN
9780470987254
SKU
V9780470987254
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Hans-Georg Elias
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 ... Read more
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