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  3. Cluster and Classification Techniques for the Biosciences
  • Cited by 29
Publisher:
Cambridge University Press
Online publication date:
January 2010
Print publication year:
2006
Online ISBN:
9780511607493
DOI:
https://doi.org/10.1017/CBO9780511607493
Subjects:
Life Sciences, Quantitative Biology, Biostatistics and Mathematical Modeling
Information

Book description

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.

Reviews

"...the book contains quite a lot of useful material for those embarking in this area...." - Morven Leese, Biometrics

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