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受约束的两类数据分割算法及其应用
引用本文:雷宏,张著洪. 受约束的两类数据分割算法及其应用[J]. 贵州大学学报(自然科学版), 2009, 26(2): 85-89
作者姓名:雷宏  张著洪
作者单位:贵州大学理学院系统科学及信息技术研究所,贵州,贵阳,550025;贵州大学理学院系统科学及信息技术研究所,贵州,贵阳,550025
基金项目:教育部科学技术研究重点项目 
摘    要:针对权值约束、相互制约的两类数据A、B分类问题,提出一种带修补规则的数据分割算法。首先,基于密度法,依赖于数据类B确定数据类A的代表点,并依据最短距离原则和数据类A的代表点,对数据类B进行分类;进而,依据邻域法的思想及数据类B的权值,对各个分类进行修补,使各类满足权值约束;最后,基于优化模型,对数据类B的分类进行优化。实验结果表明,该分割算法获得了满意的分类效果。

关 键 词:聚类  分类  权值约束  密度  优化

Constrained Segment Algorithm of Two kinds of Data and Its Application
LEI Hong,ZHANG Zhu-hong. Constrained Segment Algorithm of Two kinds of Data and Its Application[J]. Journal of Guizhou University(Natural Science), 2009, 26(2): 85-89
Authors:LEI Hong  ZHANG Zhu-hong
Affiliation:Institute of System Science and Information Technology;College of Science;Guizhou University;Guiyang 550025;China
Abstract:A repair rule-based data-segment algorithm is proposed for the classification problem of two kinds of data(A and B) with mutual restriction and the weight constraints.First,the data B is divided into several sub-classes related to the density method,which is based on the representative points of the data A and the shortest distance rule.Second,these sub-classes are repaired to satisfy the weight constraints depending upon the idea of the neighborhood method and the weights of the data B;on the other hand,th...
Keywords:clustering  classification  weight constraint  density  optimization.  
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