Classifying microarray cancer datasets using nearest subspace classification

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Title Classifying microarray cancer datasets using nearest subspace classification
Author Cohen, Michael; Paliwal, Kuldip Kumar
Publication Title Supplementary Proceedings [of the] Third IAPR International Conference on Pattern Recognition in Bioinformatics (PRIB 2008)
Editor Madhu Chetty, Shandar Ahmad, Alioune Ngom, Shyh Wei Teng
Year Published 2008
Publisher PRIB
Abstract In this paper we implement and test the recently described nearest subspace classifier on a range of microarray cancer datasets. Its classification accuracy is tested against nearest neighbor and nearest centroid algorithms, and is shown to give a significant improvement. This classification system uses class-dependent PCA to construct a subspace for each class. Test vectors are assigned the class label of the nearest subspace, which is defined as the minimum reconstruction error across all subspaces. Furthermore, we demonstrate this distance measure is equivalent to the null-space component of the vector being analyzed.
Peer Reviewed Yes
Published Yes
Publisher URI http://www.infotech.monash.edu.au/about/news/conferences/prib08/
ISBN 9780732622268
Conference name Third IAPR International Conference on Pattern Recognition in Bioinformatocs (PRIB 2008)
Location Melbourne, Australia
Date From 2008-10-15
Date To 2008-10-17
URI http://hdl.handle.net/10072/24328
Date Accessioned 2009-02-26
Date Available 2009-06-18T08:51:03Z
Language en_AU
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject Pattern Recognition and Data Mining
Publication Type Conference Publications (Full Written Paper - Refereed)
Publication Type Code e1

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