Multivariate pattern recognition in chemometrics: illustrated by case studies
Gespeichert in:
Format: | Elektronisch E-Book |
---|---|
Sprache: | English |
Veröffentlicht: |
Amsterdam
New York
1992
|
Schriftenreihe: | Data handling in science and technology
v. 9 |
Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | Includes bibliographical references and index Chemometrics originated from multivariate statistics in chemistry, and this field is still the core of the subject. The increasing availability of user-friendly software in the laboratory has prompted the need to optimize it safely. This work comprises material presented in courses organized from 1987-1992, aimed mainly at professionals in industry. The book covers approaches for pattern recognition as applied, primarily, to multivariate chemical data. These include data reduction and display techniques, principal components analysis and methods for classification and clustering. Comprehensive case studies illustrate the book, including numerical examples, and extensive problems are interspersed throughout the text. The book contains extensive cross-referencing between various chapters, comparing different notations and approaches, enabling readers from different backgrounds to benefit from it and to move around chapters at will. Worked examples and exercises are given, making the volume valuable for courses. Tutorial versions of SPECTRAMAP and SIRIUS are optionally available as a Software Supplement, at a low price, to accompany the text |
Beschreibung: | 1 Online-Ressource (xi, 325 p.) |
ISBN: | 9780444897831 0444897836 |
Internformat
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500 | |a Chemometrics originated from multivariate statistics in chemistry, and this field is still the core of the subject. The increasing availability of user-friendly software in the laboratory has prompted the need to optimize it safely. This work comprises material presented in courses organized from 1987-1992, aimed mainly at professionals in industry. The book covers approaches for pattern recognition as applied, primarily, to multivariate chemical data. These include data reduction and display techniques, principal components analysis and methods for classification and clustering. Comprehensive case studies illustrate the book, including numerical examples, and extensive problems are interspersed throughout the text. The book contains extensive cross-referencing between various chapters, comparing different notations and approaches, enabling readers from different backgrounds to benefit from it and to move around chapters at will. Worked examples and exercises are given, making the volume valuable for courses. Tutorial versions of SPECTRAMAP and SIRIUS are optionally available as a Software Supplement, at a low price, to accompany the text | ||
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650 | 7 | |a Chemistry / Statistical methods / Data processing |2 fast | |
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Datensatz im Suchindex
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dewey-full | 540/.1/5195 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 540 - Chemistry and allied sciences |
dewey-raw | 540/.1/5195 |
dewey-search | 540/.1/5195 |
dewey-sort | 3540 11 45195 |
dewey-tens | 540 - Chemistry and allied sciences |
discipline | Chemie / Pharmazie |
format | Electronic eBook |
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illustrated | Not Illustrated |
indexdate | 2024-07-10T01:18:10Z |
institution | BVB |
isbn | 9780444897831 0444897836 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027751057 |
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physical | 1 Online-Ressource (xi, 325 p.) |
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publishDate | 1992 |
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publisher | New York |
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series2 | Data handling in science and technology |
spelling | Multivariate pattern recognition in chemometrics illustrated by case studies edited by Richard G. Brereton Amsterdam New York 1992 1 Online-Ressource (xi, 325 p.) txt rdacontent c rdamedia cr rdacarrier Data handling in science and technology v. 9 Includes bibliographical references and index Chemometrics originated from multivariate statistics in chemistry, and this field is still the core of the subject. The increasing availability of user-friendly software in the laboratory has prompted the need to optimize it safely. This work comprises material presented in courses organized from 1987-1992, aimed mainly at professionals in industry. The book covers approaches for pattern recognition as applied, primarily, to multivariate chemical data. These include data reduction and display techniques, principal components analysis and methods for classification and clustering. Comprehensive case studies illustrate the book, including numerical examples, and extensive problems are interspersed throughout the text. The book contains extensive cross-referencing between various chapters, comparing different notations and approaches, enabling readers from different backgrounds to benefit from it and to move around chapters at will. Worked examples and exercises are given, making the volume valuable for courses. Tutorial versions of SPECTRAMAP and SIRIUS are optionally available as a Software Supplement, at a low price, to accompany the text Multivariate analyse gtt Chemometrie gtt Patroonherkenning gtt Casestudies gtt Chemie gtt Chemistry / Statistical methods fast Chemistry / Statistical methods / Data processing fast Multivariate analysis fast Multivariate analysis / Data processing fast Chemie Datenverarbeitung Chemistry Statistical methods Multivariate analysis Chemistry Statistical methods Data processing Multivariate analysis Data processing Mustererkennung (DE-588)4040936-3 gnd rswk-swf Multivariate Analyse (DE-588)4040708-1 gnd rswk-swf Chemometrie (DE-588)4299578-4 gnd rswk-swf Mustererkennung (DE-588)4040936-3 s Multivariate Analyse (DE-588)4040708-1 s Chemometrie (DE-588)4299578-4 s 1\p DE-604 Brereton, Richard G. Sonstige oth http://www.sciencedirect.com/science/book/9780444897831 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Multivariate pattern recognition in chemometrics illustrated by case studies Multivariate analyse gtt Chemometrie gtt Patroonherkenning gtt Casestudies gtt Chemie gtt Chemistry / Statistical methods fast Chemistry / Statistical methods / Data processing fast Multivariate analysis fast Multivariate analysis / Data processing fast Chemie Datenverarbeitung Chemistry Statistical methods Multivariate analysis Chemistry Statistical methods Data processing Multivariate analysis Data processing Mustererkennung (DE-588)4040936-3 gnd Multivariate Analyse (DE-588)4040708-1 gnd Chemometrie (DE-588)4299578-4 gnd |
subject_GND | (DE-588)4040936-3 (DE-588)4040708-1 (DE-588)4299578-4 |
title | Multivariate pattern recognition in chemometrics illustrated by case studies |
title_auth | Multivariate pattern recognition in chemometrics illustrated by case studies |
title_exact_search | Multivariate pattern recognition in chemometrics illustrated by case studies |
title_full | Multivariate pattern recognition in chemometrics illustrated by case studies edited by Richard G. Brereton |
title_fullStr | Multivariate pattern recognition in chemometrics illustrated by case studies edited by Richard G. Brereton |
title_full_unstemmed | Multivariate pattern recognition in chemometrics illustrated by case studies edited by Richard G. Brereton |
title_short | Multivariate pattern recognition in chemometrics |
title_sort | multivariate pattern recognition in chemometrics illustrated by case studies |
title_sub | illustrated by case studies |
topic | Multivariate analyse gtt Chemometrie gtt Patroonherkenning gtt Casestudies gtt Chemie gtt Chemistry / Statistical methods fast Chemistry / Statistical methods / Data processing fast Multivariate analysis fast Multivariate analysis / Data processing fast Chemie Datenverarbeitung Chemistry Statistical methods Multivariate analysis Chemistry Statistical methods Data processing Multivariate analysis Data processing Mustererkennung (DE-588)4040936-3 gnd Multivariate Analyse (DE-588)4040708-1 gnd Chemometrie (DE-588)4299578-4 gnd |
topic_facet | Multivariate analyse Chemometrie Patroonherkenning Casestudies Chemie Chemistry / Statistical methods Chemistry / Statistical methods / Data processing Multivariate analysis Multivariate analysis / Data processing Datenverarbeitung Chemistry Statistical methods Chemistry Statistical methods Data processing Multivariate analysis Data processing Mustererkennung Multivariate Analyse |
url | http://www.sciencedirect.com/science/book/9780444897831 |
work_keys_str_mv | AT breretonrichardg multivariatepatternrecognitioninchemometricsillustratedbycasestudies |