计算机工程与应用2009，Vol.45Issue(21)：124-128,5.DOI:10.3778/j.issn.1002-8331.2009.21.037
混合属性数据点集的特征权重优化方法研究
Optimization method of feature weight facing to hybrid attributes data sets
摘要
Abstract
"Regular cluster regions" of data-point sets containing beth order attributes and out-of-order attributes are obtained by applying decision tree method.Feature weight of beth order attributes and out-of-order attributes can be optimized separately by using the principia of "data points in any cluster are close to each other,and data points between any two clusters are away from each other".This optimization method of feature weight based on decision tree division can optimize feature weight of data sets with hybrid attributes.关键词
决策树划分/规则聚类区域/特征权重优化Key words
decision tree division/regular cluster region/optimization of feature weight分类
信息技术与安全科学引用本文复制引用
陈新泉..混合属性数据点集的特征权重优化方法研究[J].计算机工程与应用,2009,45(21):124-128,5.基金项目
江西省教育厅资助科研项目(the Research Projec of Department of Education of Jisagxi Province,China under Grant No.GJJ08467). （the Research Projec of Department of Education of Jisagxi Province,China under Grant No.GJJ08467）
