cluster classification techniques biosciences di fielding alan (20 risultati)

Paperback. Condizione: Very Good. 1. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Condizione: New. pp. 260.

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Hardcover. Condizione: Good. Good condition book without dust jacket. Boards are clean with light wear, edge dent. Book has clean and bright contents.

Condizione: New. pp. 260 67:B&W 6.69 x 9.61 in or 244 x 170 mm (Pinched Crown) Perfect Bound on White w/Gloss Lam.

Condizione: New.

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Condizione: New.

Paperback. Condizione: new. Paperback. 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. This 2006 book provides an overview of clustering and classification methods (from long-established statistical methods to more recent machine learning techniques), written specifically for bioscientists. Examples are taken from across the life sciences, including bioinformatics, and are used throughout to illustrate key concepts, and the potential of each technique discussed. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Condizione: New. In.

Paperback. Condizione: New.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.

Hardcover. Condizione: Like New. Like New. book.

Paperback. Condizione: Brand New. 1st edition. 246 pages. 9.50x6.75x0.50 inches. In Stock. This item is printed on demand.

Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 563.

Condizione: New. PRINT ON DEMAND pp. 260.

Paperback. Condizione: new. Paperback. 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. This 2006 book provides an overview of clustering and classification methods (from long-established statistical methods to more recent machine learning techniques), written specifically for bioscientists. Examples are taken from across the life sciences, including bioinformatics, and are used throughout to illustrate key concepts, and the potential of each technique discussed. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This 2006 book provides an overview of clustering and classification methods (from long-established statistical methods to more recent machine learning techniques), written specifically for bioscientists. Examples are taken from across the life sciences, in.

Paperback. Condizione: new. Paperback. 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. This 2006 book provides an overview of clustering and classification methods (from long-established statistical methods to more recent machine learning techniques), written specifically for bioscientists. Examples are taken from across the life sciences, including bioinformatics, and are used throughout to illustrate key concepts, and the potential of each technique discussed. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Taschenbuch. Condizione: Neu. Cluster and Classification Techniques for the Biosciences | Alan H. Fielding | Taschenbuch | Kartoniert / Broschiert | Englisch | 2013 | Cambridge University Press | EAN 9780521618007 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.