A note on hyper ellipse method for classifying biological and medical data
| dc.citation.epage | 1986 | en_US |
| dc.citation.issue | 11 | en_US |
| dc.citation.spage | 1978 | en_US |
| dc.citation.volume | 43 | en_US |
| dc.citation.woscount | 0 | |
| dc.contributor.author | Huang, Yao-Huei | 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.date.accessioned | 2014-12-08T15:33:36Z | |
| dc.date.available | 2014-12-08T15:33:36Z | |
| dc.date.issued | 2013-11-01 | en_US |
| 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.identifier.doi | 10.1016/j.compbiomed.2013.08.007 | en_US |
| dc.identifier.issn | 0010-4825 | en_US |
| dc.identifier.journal | COMPUTERS IN BIOLOGY AND MEDICINE | en_US |
| dc.identifier.uri | http://dx.doi.org/10.1016/j.compbiomed.2013.08.007 | en_US |
| dc.identifier.uri | https://ir.lib.nycu.edu.tw/handle/11536/23280 | |
| dc.identifier.wosnumber | WOS:000327578400036 | |
| 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 |