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Cluster and Classification Techniques for the Biosciences
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    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.

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    Cluster and Classification Techniques for the Biosciences
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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.


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