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An Optimal Classification Method for Biological and Medical Data

dc.citation.woscount1
dc.contributor.authorHuang, Yao-Hueien_US
dc.contributor.authorKo, Yu-Chienen_US
dc.contributor.authorLu, Hao-Chunen_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.departmentDepartment of Information Management and Financeen_US
dc.date.accessioned2014-12-08T15:22:56Z
dc.date.available2014-12-08T15:22:56Z
dc.date.issued2012en_US
dc.description.abstractThis 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.identifier.doi398232en_US
dc.identifier.issn1024-123Xen_US
dc.identifier.journalMATHEMATICAL PROBLEMS IN ENGINEERINGen_US
dc.identifier.urihttp://dx.doi.org/398232en_US
dc.identifier.urihttps://ir.lib.nycu.edu.tw/handle/11536/16175
dc.identifier.wosnumberWOS:000303737600001
dc.language.isoen_USen_US
dc.titleAn Optimal Classification Method for Biological and Medical Dataen_US
dc.typeArticleen_US

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