数据采集与处理2017，Vol.32Issue(1)：46-53,8.DOI:10.16337/j.1004-9037.2017.01.005
一种高斯区间核SVM分类模型
Support Vector Machine Classification Model Based on Gauss Interval Kernel
摘要
Abstract
Interval data (ID) is a kind of data which the attribute values are the interval.Aiming at the classification problem of interval data,a support vector machine classification model based on Gauss interval kernel (GIK_SVM) is proposed.In the method,the half-width factor is introduced which makes a compromise between the median and the haff width of interval data.Then,the Gauss interval kernel is constructed to measure the similarity between two interval data.SVM model is applied to classify the samples.Experiment results on artificial and real datasets demonstrate that the proposed GIK_SVM has a better classification performance for interval data.关键词
区间型数据/半宽因子/区间核/GIK_SVM模型Key words
interval data(ID)/half-width factor/interval kernal/GIK_SVM model分类
信息技术与安全科学引用本文复制引用
王文剑,祁晓博,郭虎升..一种高斯区间核SVM分类模型[J].数据采集与处理,2017,32(1):46-53,8.基金项目
国家自然科学基金(61673249,61503229,61273291)资助项目 （61673249,61503229,61273291）
山西省回国留学人员科研项目(2016-004)资助项目 （2016-004）
山西省自然科学青年基金(2015021096)资助项目 （2015021096）
山西省高等学校科技创新(2015110)资助项目. （2015110）
