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Edité par Research Studies Press 08.10.1986., 1986
ISBN 10 : 0863800440 ISBN 13 : 9780863800443
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Ajouter au panierEtat : Gut. 218 Seiten aus einer Firmenbibliothek im guten bis sehr guten Zustand - Sprache: Englisch Gewicht in Gramm: 969 22,9 x 15,2 x 2,5 cm, Gebundene Ausgabe.
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Ajouter au panierhardcover. Etat : Gut. 194 Seiten; 9780863800696.3 Gewicht in Gramm: 500.
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Langue: anglais
Edité par LAP LAMBERT Academic Publishing, 2012
ISBN 10 : 3659262099 ISBN 13 : 9783659262098
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Edité par LAP LAMBERT Academic Publishing, 2012
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Ajouter au panierTaschenbuch. Etat : Neu. Chemometrics pattern recognition methods | Applications to gentics and metabolomics data | Yun Xu | Taschenbuch | 268 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659262098 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.
Langue: anglais
Edité par John Wiley & Sons Inc, New York, 2009
ISBN 10 : 0470987251 ISBN 13 : 9780470987254
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Ajouter au panierHardcover. Etat : new. Hardcover. 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 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. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Ajouter au panierEtat : New. pp. xvii + 504 Illus. (Col.).
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Langue: anglais
Edité par John Wiley and Sons Ltd, 2009
ISBN 10 : 0470987251 ISBN 13 : 9780470987254
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Ajouter au panierEtat : New. 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. . 2009. 1st Edition. Hardcover. . . . .
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Ajouter au panierEtat : New. pp. xvii + 504 Index.
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Ajouter au panierHardcover. Etat : Brand New. 1st edition. 522 pages. 10.00x7.00x1.25 inches. In Stock.
Langue: anglais
Edité par John Wiley & Sons Inc, New York, 2009
ISBN 10 : 0470987251 ISBN 13 : 9780470987254
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Ajouter au panierHardcover. Etat : new. Hardcover. 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 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. 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. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Langue: anglais
Edité par John Wiley and Sons Ltd, 2009
ISBN 10 : 0470987251 ISBN 13 : 9780470987254
Vendeur : Kennys Bookstore, Olney, MD, Etats-Unis
EUR 199,47
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Ajouter au panierEtat : New. 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. . 2009. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.
Langue: anglais
Edité par Research Studies Press Ltd., 1988
ISBN 10 : 0863800696 ISBN 13 : 9780863800696
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
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Ajouter au panierhardcover. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.