Title: A note on hyper ellipse method for classifying biological and medical data
Authors: Huang, Yao-Huei
資訊管理與財務金融系 註:原資管所+財金所
Department of Information Management and Finance
Keywords: Hyper ellipse;Nonlinear program;Linearization
Issue Date: 1-Nov-2013
Abstract: The classification of biological and medical datasets is essential to humanity. This study proposes a hyper ellipse method based on mixed integer nonlinear program for classifying datasets. A linearization technique with a number of piecewise line segments is used to treat nonlinear constraints, which aims to obtain an approximate optimal solution. Numerical examples are presented to demonstrate the efficacy of the proposed method. (C) 2013 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.compbiomed.2013.08.007
http://hdl.handle.net/11536/23280
ISSN: 0010-4825
DOI: 10.1016/j.compbiomed.2013.08.007
Journal: COMPUTERS IN BIOLOGY AND MEDICINE
Volume: 43
Issue: 11
Begin Page: 1978
End Page: 1986
Appears in Collections:Articles


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