计算机应用研究2017，Vol.34Issue(3)：658-660,3.DOI:10.3969/j.issn.1001-3695.2017.03.004
模糊大间隔最小超球模型
Fuzzy minimal hyper-sphere model with large margin
摘要
Abstract
In order to solve the problems of traditional outlier detection methods such as the limited efficiencies and noise-sensitiveness,this paper proposed fuzzy minimal hyper-sphere model with large margin (FMHM) based on the analysis of traditional outlier detection methods.This proposed model introduced the fuzzy theory to decrease the influence of noises and tried to maximize the margin between the normal samples and the abnormal samples to ensure the misclassification efficiencies minimized.Comparative experiments with one class support vector machine (OCSVM),support vector data description (SVDD),K-nearest neighbor(KNN) on the UCI datasets verify the effectiveness of FMHM in solving the problem of outlier detection.关键词
异常检测/模糊理论/大间隔最小超球Key words
outlier detection/fuzzy theory/minimal hyper-sphere model with large margin分类
信息技术与安全科学引用本文复制引用
于华,刘忠宝..模糊大间隔最小超球模型[J].计算机应用研究,2017,34(3):658-660,3.基金项目
山西省自然科学基金资助项目(201601D011042) （201601D011042）
山西省高等学校创新人才支持计划资助项目(2016) （2016）
