Skip to main content
×
×
Home
Cluster and Classification Techniques for the Biosciences
  • Get access
    Check if you have access via personal or institutional login
  • Cited by 5
  • Cited by
    This book has been cited by the following publications. This list is generated based on data provided by CrossRef.

    Sharmila, A. and Mahalakshmi, P. 2017. Wavelet-based feature extraction for classification of epileptic seizure EEG signal. Journal of Medical Engineering & Technology, Vol. 41, Issue. 8, p. 670.

    Zhao, Tong and Dungan, J. Mark 2014. Improved Baseline Method to Calculate Lost Construction Productivity. Journal of Construction Engineering and Management, Vol. 140, Issue. 2, p. 06013006.

    Hardman, Julie Paucar-Caceres, Alberto and Fielding, Alan 2013. Predicting Students' Progression in Higher Education by Using the Random Forest Algorithm. Systems Research and Behavioral Science, Vol. 30, Issue. 2, p. 194.

    Fielding, Alan Dunleavy, Peter J. and Langan, A. Mark 2010. Interpreting context to the UK’s National Student (Satisfaction) Survey data for science subjects. Journal of Further and Higher Education, Vol. 34, Issue. 3, p. 347.

    Penney, D. and Langan, A. M. 2010. Morphometric identification of fossil spiders: Comment. Paleontological Journal, Vol. 44, Issue. 6, p. 644.

    ×
  • Export citation
  • Recommend to librarian
  • Recommend this book

    Email your librarian or administrator to recommend adding this book to your organisation's collection.

    Cluster and Classification Techniques for the Biosciences
    • Online ISBN: 9780511607493
    • Book DOI: https://doi.org/10.1017/CBO9780511607493
    Please enter your name
    Please enter a valid email address
    Who would you like to send this to *
    ×
  • Buy the print book

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

Refine List
Actions for selected content:
Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Send to Kindle
  • Send to Dropbox
  • Send to Google Drive
  • Send content to

    To send content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about sending content to .

    To send content items to your Kindle, first ensure no-reply@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about sending to your Kindle.

    Note you can select to send to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be sent to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

    Find out more about the Kindle Personal Document Service.

    Please be advised that item(s) you selected are not available.
    You are about to send
    ×

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
×

Metrics

Altmetric attention score

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Book summary page views

Total views: 0 *
Loading metrics...

* Views captured on Cambridge Core between #date#. This data will be updated every 24 hours.

Usage data cannot currently be displayed