Cluster and Classification Techniques for the Biosciences

Cluster and Classification Techniques for the Biosciences

by Alan H. Fielding
     
 

ISBN-10: 0521618002

ISBN-13: 9780521618007

Pub. Date: 02/28/2007

Publisher: Cambridge University Press

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…  See more details below

Overview

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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Product Details

ISBN-13:
9780521618007
Publisher:
Cambridge University Press
Publication date:
02/28/2007
Edition description:
1ST
Pages:
258
Product dimensions:
6.85(w) x 9.72(h) x 0.55(d)

Table of Contents

1. Introduction; 2. Exploratory data analysis; 3. Cluster analysis; 4. Introduction to classification; 5. Classification algorithms I; 6. Other classification methods; 7. Classification accuracy; Appendices; References.

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