计算机与数字工程Issue(6)：1023-1027,5.DOI:10.3969/j.issn1672-9722.2014.06.027
一种基于多目标优化的数据分类模型
A Data Classification Model Based on Multi-objective Optimiz ation
摘要
Abstract
For multi-objective optimization ,the LDA's first goals(maximum inter-class variance) and the SVM second goal(minimum the empirical risk) are combined for configuring a new MVE data classification model .It is a non-convex pro-gramming model and CCCP programming is utilized .In order to verify the data classification model presented in this paper , some data classification experiments are carried based on artificial and real UCI datasets .The experimental results show that the data classification model is effective .关键词
多目标规划/分类/数据挖掘Key words
multi-objective planning/classification/data mining分类
信息技术与安全科学引用本文复制引用
陈三风,王辉静,郭森,陆芸婷..一种基于多目标优化的数据分类模型[J].计算机与数字工程,2014,(6):1023-1027,5.基金项目
国家自然科学基金（编号61271420）；广东省自然科学基金（编号S2012010008997，S2011010006120， S2011010006115）；深圳市科技计划（编号JC201105190821A ，ZYA201007070116A）资助。 （）
