000			02450nam a22003738i 4500
001			CR9780511607493
003			UkCbUP
005			20200124160259.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			090910s2007||||enk o ||1 0|eng|d
020			_a9780511607493 (ebook)
020			_z9780521852814 (hardback)
020			_z9780521618007 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aQH324.2 _b.F537 2007
082	0	0	_a570.285 _222
100	1		_aFielding, Alan, _eauthor.
245	1	0	_aCluster and classification techniques for the biosciences / _cAlan H. Fielding.
246	3		_aCluster & Classification Techniques for the Biosciences
264		1	_aCambridge : _bCambridge University Press, _c2007.
300			_a1 online resource (xii, 246 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
505	0		_aExploratory data analysis -- Cluster analysis -- Introduction to classification -- Classification algorithms -- Other classification methods -- Classification accuracy.
520			_aAdvances 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.
650		0	_aBiology _xData processing.
650		0	_aBiology _vClassification.
650		0	_aCluster analysis.
776	0	8	_iPrint version: _z9780521852814
856	4	0	_uhttps://doi.org/10.1017/CBO9780511607493
999			_c520250 _d520248