A comparison of three different methods for classification of breast cancer data

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A comparison of three different methods for classification of breast cancer data

The classification of breast cancer patients is of great importance in cancer diagnosis. During the last few years, many algorithms have been proposed for this task. In this paper, we review different supervised machine learning techniques for classification of a novel dataset and perform a methodol...

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Bibliographic Details
Main Authors:	Soria, Daniele, Garibaldi, Jonathan M., Biganzoli, Elia M., Ellis, Ian O.
Format:	Conference or Workshop Item
Published:	2008
Online Access:	https://eprints.nottingham.ac.uk/28136/

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