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Cluster and Classification Techniques for the Bios

Material type: TextTextPublication details: Cambridge, UK Cambridge University Press 2007Description: xii, 246 p.: ill ; 26 cmISBN:
  • 9780521618007
Subject(s): DDC classification:
  • 570.285 FIE-C
Contents:
Exploratory data analysis -- Cluster analysis -- Introduction to classification -- Classification algorithms -- Other classification methods -- Classification accuracy.
Summary: "Recent 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 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 technique."--Jacket.
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Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 570.285 FIE-C (Browse shelf(Opens below)) Available DCB1250

Exploratory data analysis -- Cluster analysis -- Introduction to classification -- Classification algorithms -- Other classification methods -- Classification accuracy.

"Recent 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 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 technique."--Jacket.

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