Abstract for HONS 01/03 - Computer Science and Software Engineering - University of Canterbury - New Zealand
HONS 01/03

Feature selection applied to classification of cancerous tissue

Joel Pitt
Department of Computer Science
University of Canterbury

Abstract


This report examines the use of Support Vector Machines and Genetic Programming Classifers (GPCs) to distinguish between classes of cancer based on gene expression data. The effect of feature selection on classifer accuracy and on the convergence time of GPCs is experimentally investigated, with the goal of making classifcation problems on gene expression data tractable to GPCs.

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