An Optimal Classification Method for Biological and Medical Data

Yao-Huei Huang, Yu-Chien Ko and Hao-Chun Lu

Mathematical Problems in Engineering, 2012, vol. 2012, 1-17

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.

Date: 2012
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/MPE/2012/398232.pdf (application/pdf)
http://downloads.hindawi.com/journals/MPE/2012/398232.xml (text/xml)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:398232

DOI: 10.1155/2012/398232

Access Statistics for this article

More articles in Mathematical Problems in Engineering from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().