Cluster and classification techniques for the biosciences / Alan H. Fielding.

Format:

Book

Author/Creator:

Fielding, Alan, author.

Language:

English

Subjects (All):

Biology--Data processing.

Biology.

Biology--Classification.

Cluster analysis.

Physical Description:

1 online resource (xii, 246 pages) : digital, PDF file(s).

Other Title:

Cluster & Classification Techniques for the Biosciences

Place of Publication:

Cambridge : Cambridge University Press, 2007.

Language Note:

English

Summary:

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.

Contents:

Exploratory data analysis

Cluster analysis

Introduction to classification

Classification algorithms

Other classification methods

Classification accuracy.

Notes:

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

Includes bibliographical references.

ISBN:

1-107-16552-0

1-280-74920-2

9786610749201

0-511-26062-8

0-511-25937-9

0-511-26119-5

0-511-31999-1

0-511-60749-0

0-511-26002-4

OCLC:

437175461