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  3. Cluster and Classification Techniques for the Biosciences
  • Cited by 35
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    • Publisher:
      Cambridge University Press
      Publication date:
      January 2010
      December 2006
      ISBN:
      9780511607493
      9780521852814
      9780521618007
      DOI:
      https://doi.org/10.1017/CBO9780511607493
      Dimensions:
      (247 x 174 mm)
      Weight & Pages:
      0.683kg, 258 Pages
      Dimensions:
      (247 x 174 mm)
      Weight & Pages:
      0.42kg, 260 Pages
      • Subjects:
      Life Sciences, Quantitative Biology, Biostatistics and Mathematical Modeling
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    Subjects:
    Life Sciences, Quantitative Biology, Biostatistics and Mathematical Modeling
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    Book description

    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.

    Reviews

    "...the book contains quite a lot of useful material for those embarking in this area...." - Morven Leese, Biometrics

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