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Home / Optimization Methods and Software, Volume 22, Number 1

An optimization-based approach for data classification

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Authors: Busygin, St. 1 ; Prokopyev, O. A. 2 ; Pardalos, P. M. 1 ; 

Source: Optimization Methods and Software, Volume 22, Number 1, February 2007, pp. 3-9(7)

Publisher: Taylor and Francis Ltd

DOI: https://doi.org/10.1080/10556780600881639

In this paper we discuss an optimization-based approach to handling data classification problems. The main idea of the proposed method is to reformulate the classification problem as a mathematical programming problem, whose solution implies relevant feature selection and forms the classes of data. Encouraging computational results on two DNA microarray data mining problems are reported.

Keywords: Classification; Gene expression data; Optimization approach

Document Type: Research Article

Affiliations: 1: Center for Applied Optimization, Department of Industrial and Systems Engineering, University of Florida, 2: Department of Industrial Engineering, University of Pittsburgh,

Publication date: 01 February 2007

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