An optimal classification method for biological and medical data

Yao Huei Huang*, Yu Chien Ko, Hao Chun Lu

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

6 Scopus citations

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.

Original languageEnglish
Article number398232
JournalMathematical Problems in Engineering
Volume2012
DOIs
StatePublished - 2012
Externally publishedYes

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