A note on hyper ellipse method for classifying biological and medical data

doi:10.1016/j.compbiomed.2013.08.007

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DC 欄位	值	語言
dc.contributor.author	Huang, Yao-Huei	en_US
dc.date.accessioned	2014-12-08T15:33:36Z	-
dc.date.available	2014-12-08T15:33:36Z	-
dc.date.issued	2013-11-01	en_US
dc.identifier.issn	0010-4825	en_US
dc.identifier.uri	http://dx.doi.org/10.1016/j.compbiomed.2013.08.007	en_US
dc.identifier.uri	http://hdl.handle.net/11536/23280	-
dc.description.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.	en_US
dc.language.iso	en_US	en_US
dc.subject	Hyper ellipse	en_US
dc.subject	Nonlinear program	en_US
dc.subject	Linearization	en_US
dc.title	A note on hyper ellipse method for classifying biological and medical data	en_US
dc.type	Article	en_US
dc.identifier.doi	10.1016/j.compbiomed.2013.08.007	en_US
dc.identifier.journal	COMPUTERS IN BIOLOGY AND MEDICINE	en_US
dc.citation.volume	43	en_US
dc.citation.issue	11	en_US
dc.citation.spage	1978	en_US
dc.citation.epage	1986	en_US
dc.contributor.department	資訊管理與財務金融系註：原資管所+財金所	zh_TW
dc.contributor.department	Department of Information Management and Finance	en_US
dc.identifier.wosnumber	WOS:000327578400036	-
dc.citation.woscount	0	-
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