An optimal classification method for biological and medical data
type: Item
instance of: scholarly article
title: An optimal classification method for biological and medical data
zbMATH Open document ID: 1264.90126
DOI: 10.1155/2012/398232
author: Yao-Huei Huang
author: Yu-Chien Ko
author: Hao-Chun Lu
published in: Mathematical Problems in Engineering
publication date: 2013-06-11T00:00:00Z
review text: Summary: We propose 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.
Mathematics Subject Classification ID: 90C11
Mathematics Subject Classification ID: 92B10
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 90C90
zbMATH DE Number: 6173255
describes a project that uses: CPLEX
describes a project that uses: C4.5
describes a project that uses: LIBSVM
MaRDI profile type: Publication
Wikidata QID: Q58911532
full work available at URL: https://doi.org/10.1155/2012/398232
OpenAlex ID: W2094200651
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description: scientific article; zbMATH DE number 6173255