A Cluster Analysis Method Based on Combination Similarity and Its Application
With respect to the shortcomings that traditional cluster analysis method which only a single of similar measure portrait is utilized, the paper presents a new framework for combination similarity analysis. Investment clustering analysis have been applied for Shen Zhen listed companies. Moreover, the combination similarity analysis method is more comprehensive than the traditional single one, becasuse of the use of the position and shape to measure samples similarity. Clustering results will also be more effective and convincing. The new clustering method is intuitive, simple and easy to operate, can be widely used in pattern recognition and many other fields of economic management.
Combination Similarity Listed companies Distance Cluster
Wang Dan Ren Xiao-yu
Student affairs office of graduate school, Northeastern University, Shenyang, 110004
国际会议
The 22nd China Control and Decision Conference(2010年中国控制与决策会议)
徐州
英文
430-433
2010-05-26（万方平台首次上网日期，不代表论文的发表时间）