节点文献
优化协作系数下横向协作聚类的实现
Implement the Horizontal Collaborative Fuzzy Clustering by Optimizing the Collaboration Coefficient
【Author】 Xiao Wang 1* , Fusheng Yu 2 , Huixin Zhang 3 1, 2 School of Mathematical Sciences Laboratory of Mathematics and Complex Systems, Ministry of Education Beijing Normal University, Beijing 100875 3 School of Statistics, Capital University of Economics and Business, Beijing 100070
【机构】 北京师范大学数学科学学院数学与复杂系统教育部重点实验室; 首都经济贸易大学统计学院;
【摘要】 针对横向协作聚类算法中协作系数通常依据先验知识给出的问题进行了深入的研究,本文提出了一种新的方法来获取最优的协作系数及优化聚类结果,即:将协作系数看作目标函数中变量,从客观角度来优化目标函数。理论分析与实验结果表明此方法能取得更好的聚类效果。
【Abstract】 The problem of horizontal collaboration clustering which collaboration coefficient is usually given by priori knowledge is carefully researched. This paper provides an approach to obtain the optimal weight by taking the weight factor as a variable in the term of the objective function. Theory analysis and experimental results demonstrate that the new algorithm can get better clustering result.
【Key words】 fuzzy clustering; horizontal collaborative clustering; weight; optimization;
- 【会议录名称】 第24届中国控制与决策会议论文集
- 【会议名称】第24届中国控制与决策会议
- 【会议时间】2012-05-23
- 【会议地点】中国山西太原
- 【分类号】TP311.13;O224
- 【主办单位】东北大学、IEEE工业电子分会、IEEE控制系统协会哈尔滨分会