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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...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Cambridge, UK ; New York :
Cambridge University Press,
©2007.
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| Temas: | |
| Acceso en línea: | Texto completo |
| Sumario: | 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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| Descripción Física: | 1 online resource (xii, 246 pages) : illustrations |
| Bibliografía: | Includes bibliographical references (pages 224-239) and index. |
| ISBN: | 9780511261190 0511261195 9780511260629 0511260628 9780511258077 0511258070 9780511259371 0511259379 0521852811 9780521852814 0521618002 9780521618007 1107165520 9781107165526 1280749202 9781280749209 9786610749201 6610749205 0511319991 9780511319990 0511607490 9780511607493 0511260024 9780511260025 |