THE RESEARCH OF VISUALIZATION DATA MINING BASED ON MANIFOLD LEARNING

摘要：

Based on characteristics of data distribution in the low dimension nature, this paper studies the effect of manifold embedding technology used in typical industrial data set analysis, and manifold learning theory was introduced into the visualization data mining to help get quick effective information in a large number of data.Cognitive process with the help of that information reduces the difficulty of analysis and improves the data utilization efficiency, having a high value in engineering application.

关键词： Visualization data mining Manifold learning Industrial data

作者: DAREN YU HUIXIN HE HUIXIA HE

作者单位: Harbin Institute of Technology,Harbin,Heilongjiang,China Jiahui Middle School,Quanzhou,Fujian,China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer Technology and Development(2011第三届计算机技术与发展国际会议 ICCTD2011)

会议地点: 成都

会议语种:英文

页码: 1056-1061

在线出版日期: 2011-11-25（万方平台首次上网日期，不代表论文的发表时间）