Methods for statistical data visualization and cluster analysis

统计数据可视化和聚类分析方法

• 批准号: 9266-2009
• 负责人: Oldford, Wayne
• 金额: $ 1.38万
• 依托单位: University of Waterloo
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2009
• 资助国家: 加拿大
• 起止时间: 2009-01-01 至 2010-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=420792
• 关键词: Methods; statistical; data; visualization; cluster

The research to be carried out will bring computational, mathematical, and statistical tools to bear on the development of new data visualization and clustering methods for the exploration of high dimensional data. The methods will be applied and adapted to data of varying complexity -- access to several novel data sources (recently made available to us from various government, industry and medical researchers) will provide meaningful and valuable test beds.

将要进行的研究将带来计算，数学和统计工具，承担新的数据可视化和聚类方法的开发，用于高维数据的探索。 这些方法将被应用并适应不同复杂性的数据--访问几个新的数据源（最近从不同的政府、行业和医学研究人员那里获得）将提供有意义和有价值的测试平台。