Comparative analysis and exploration of collections of data clusterings

数据聚类集合的比较分析与探索

• 批准号: DP0880705
• 负责人: Prof James Bailey
• 金额: $ 14.91万
• 依托单位: The University of Melbourne
• 依托单位国家: 澳大利亚
• 项目类别: Discovery Projects
• 财政年份: 2008
• 资助国家: 澳大利亚
• 起止时间: 2008-01-01 至 2011-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/DP0880705
• 关键词: Comparative; analysis; exploration; collections; data

Data clustering is an important technique for extracting knowledge from complex datasets. It is widely used by Australian science, government and industry, in areas such as genomics, proteomics, crime analysis, marketing and customer profiling. This project will develop new techniques that will allow users to explore and analyse collections of data clusterings. This will improve the current generation of clustering software and allow deeper investigation of challenging and complex data.

数据聚类是从复杂数据集中提取知识的一种重要技术。它被澳大利亚科学、政府和工业广泛应用于基因组学、蛋白质组学、犯罪分析、营销和客户特征分析等领域。该项目将开发新的技术，使用户能够探索和分析数据集群的集合。这将改进当前一代的集群软件，并允许对具有挑战性和复杂的数据进行更深入的调查。