An Optimal Classification Method for Biological and Medical Data

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DC 欄位	值	語言
dc.contributor.author	Huang, Yao-Huei	en_US
dc.contributor.author	Ko, Yu-Chien	en_US
dc.contributor.author	Lu, Hao-Chun	en_US
dc.date.accessioned	2014-12-08T15:22:56Z	-
dc.date.available	2014-12-08T15:22:56Z	-
dc.date.issued	2012	en_US
dc.identifier.issn	1024-123X	en_US
dc.identifier.uri	http://hdl.handle.net/11536/16175	-
dc.identifier.uri	http://dx.doi.org/398232	en_US
dc.description.abstract	This paper proposes a union of hyperspheres by the mixed-integer nonlinear program to classify biological and medical datasets. A classifying program with nonlinear terms uses piecewise linearization technique to obtain a global optimum. The numerical examples illustrate that the proposed method can obtain the global optimum more effectively than current methods.	en_US
dc.language.iso	en_US	en_US
dc.title	An Optimal Classification Method for Biological and Medical Data	en_US
dc.type	Article	en_US
dc.identifier.doi	398232	en_US
dc.identifier.journal	MATHEMATICAL PROBLEMS IN ENGINEERING	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:000303737600001	-
dc.citation.woscount	1	-
顯示於類別：	期刊論文

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