Improving Visualization of Mixed-type Data with a Dynamic SOM

摘要：

Self-Organizing Map (SOM) possesses an effective visualization capability for supporting analysts efficiently extract valuable information from a large amount of high-dimensional data. Growing SOMs were proposed to overcome the constraint of fixed-size map in conventional SOMs. Nevertheless, the lack of a robust solution to mixed-type data processing causes most growing SOMs to fail to appropriately manipulate numeric, ordinal and categorical values simultaneously. In this paper, we propose a Growing Mixed-type SOM (GMixSOM), combining distance hierarchy with a dynamic-structure scheme to tackle the problems occurring in growing SOMs. Experimental results indicate not only are foregoing drawbacks of growing SOMs improved but topological relationship between mixed-type data can be also revealed effectively via the proposed model.

关键词： data visualization Self-Organizing Map (SOM) mixed-type data dynamic structure distance hierarchy

作者: Wei-Shen Tai Chung-Chian Hsu

作者单位: Department of Information Management,National Yunlin University of Science and Technology,Yunlin, Taiwan

会议类型: 国际会议

会议名称: 2011 Seventh International Conference on Natural Computation(第七届自然计算国际会议 ICNC 2011)

会议地点: 上海

会议语种:英文

页码: 442-446

在线出版日期: 2011-07-26（万方平台首次上网日期，不代表论文的发表时间）