Cluster and classification techniques for the biosciences:
Advances in experimental methods have resulted in the generation of enormous volumes of data across the life sciences. Hence clustering and classification techniques that were once predominantly the domain of ecologists are now being used more widely. This 2006 book provides an overview of these imp...
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1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cambridge
Cambridge University Press
2007
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Schlagworte: | |
Online-Zugang: | BSB01 FHN01 URL des Erstveröffentlichers |
Zusammenfassung: | Advances in experimental methods have resulted in the generation of enormous volumes of data across the life sciences. Hence clustering and classification techniques that were once predominantly the domain of ecologists are now being used more widely. This 2006 book provides an overview of these important data analysis methods, from long-established statistical methods to more recent machine learning techniques. It aims to provide a framework that will enable the reader to recognise the assumptions and constraints that are implicit in all such techniques. Important generic issues are discussed first and then the major families of algorithms are described. Throughout the focus is on explanation and understanding and readers are directed to other resources that provide additional mathematical rigour when it is required. Examples taken from across the whole of biology, including bioinformatics, are provided throughout the book to illustrate the key concepts and each technique's potential |
Beschreibung: | Title from publisher's bibliographic system (viewed on 05 Oct 2015) |
Beschreibung: | 1 online resource (xii, 246 pages) |
ISBN: | 9780511607493 |
DOI: | 10.1017/CBO9780511607493 |
Internformat
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520 | |a Advances in experimental methods have resulted in the generation of enormous volumes of data across the life sciences. Hence clustering and classification techniques that were once predominantly the domain of ecologists are now being used more widely. This 2006 book provides an overview of these important data analysis methods, from long-established statistical methods to more recent machine learning techniques. It aims to provide a framework that will enable the reader to recognise the assumptions and constraints that are implicit in all such techniques. Important generic issues are discussed first and then the major families of algorithms are described. Throughout the focus is on explanation and understanding and readers are directed to other resources that provide additional mathematical rigour when it is required. Examples taken from across the whole of biology, including bioinformatics, are provided throughout the book to illustrate the key concepts and each technique's potential | ||
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Datensatz im Suchindex
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any_adam_object | |
author | Fielding, Alan |
author_facet | Fielding, Alan |
author_role | aut |
author_sort | Fielding, Alan |
author_variant | a f af |
building | Verbundindex |
bvnumber | BV043943782 |
classification_rvk | WC 7000 |
collection | ZDB-20-CBO |
contents | Exploratory data analysis -- Cluster analysis -- Introduction to classification -- Classification algorithms -- Other classification methods -- Classification accuracy |
ctrlnum | (ZDB-20-CBO)CR9780511607493 (OCoLC)967603444 (DE-599)BVBBV043943782 |
dewey-full | 570.285 |
dewey-hundreds | 500 - Natural sciences and mathematics |
dewey-ones | 570 - Biology |
dewey-raw | 570.285 |
dewey-search | 570.285 |
dewey-sort | 3570.285 |
dewey-tens | 570 - Biology |
discipline | Biologie |
doi_str_mv | 10.1017/CBO9780511607493 |
format | Electronic eBook |
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illustrated | Not Illustrated |
indexdate | 2024-07-10T07:39:20Z |
institution | BVB |
isbn | 9780511607493 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-029352753 |
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physical | 1 online resource (xii, 246 pages) |
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spelling | Fielding, Alan Verfasser aut Cluster and classification techniques for the biosciences Alan H. Fielding Cluster & Classification Techniques for the Biosciences Cambridge Cambridge University Press 2007 1 online resource (xii, 246 pages) txt rdacontent c rdamedia cr rdacarrier Title from publisher's bibliographic system (viewed on 05 Oct 2015) Exploratory data analysis -- Cluster analysis -- Introduction to classification -- Classification algorithms -- Other classification methods -- Classification accuracy Advances in experimental methods have resulted in the generation of enormous volumes of data across the life sciences. Hence clustering and classification techniques that were once predominantly the domain of ecologists are now being used more widely. This 2006 book provides an overview of these important data analysis methods, from long-established statistical methods to more recent machine learning techniques. It aims to provide a framework that will enable the reader to recognise the assumptions and constraints that are implicit in all such techniques. Important generic issues are discussed first and then the major families of algorithms are described. Throughout the focus is on explanation and understanding and readers are directed to other resources that provide additional mathematical rigour when it is required. Examples taken from across the whole of biology, including bioinformatics, are provided throughout the book to illustrate the key concepts and each technique's potential Datenverarbeitung Biology / Data processing Biology / Classification Cluster analysis Cluster-Analyse (DE-588)4070044-6 gnd rswk-swf Biologie (DE-588)4006851-1 gnd rswk-swf Cluster-Analyse (DE-588)4070044-6 s Biologie (DE-588)4006851-1 s 1\p DE-604 Erscheint auch als Druckausgabe 978-0-521-61800-7 Erscheint auch als Druckausgabe 978-0-521-85281-4 https://doi.org/10.1017/CBO9780511607493 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Fielding, Alan Cluster and classification techniques for the biosciences Exploratory data analysis -- Cluster analysis -- Introduction to classification -- Classification algorithms -- Other classification methods -- Classification accuracy Datenverarbeitung Biology / Data processing Biology / Classification Cluster analysis Cluster-Analyse (DE-588)4070044-6 gnd Biologie (DE-588)4006851-1 gnd |
subject_GND | (DE-588)4070044-6 (DE-588)4006851-1 |
title | Cluster and classification techniques for the biosciences |
title_alt | Cluster & Classification Techniques for the Biosciences |
title_auth | Cluster and classification techniques for the biosciences |
title_exact_search | Cluster and classification techniques for the biosciences |
title_full | Cluster and classification techniques for the biosciences Alan H. Fielding |
title_fullStr | Cluster and classification techniques for the biosciences Alan H. Fielding |
title_full_unstemmed | Cluster and classification techniques for the biosciences Alan H. Fielding |
title_short | Cluster and classification techniques for the biosciences |
title_sort | cluster and classification techniques for the biosciences |
topic | Datenverarbeitung Biology / Data processing Biology / Classification Cluster analysis Cluster-Analyse (DE-588)4070044-6 gnd Biologie (DE-588)4006851-1 gnd |
topic_facet | Datenverarbeitung Biology / Data processing Biology / Classification Cluster analysis Cluster-Analyse Biologie |
url | https://doi.org/10.1017/CBO9780511607493 |
work_keys_str_mv | AT fieldingalan clusterandclassificationtechniquesforthebiosciences AT fieldingalan clusterclassificationtechniquesforthebiosciences |