A Data Stream Subspace Clustering Algorithm

• 作 者: Xiang Yu Xiandong Xu Liandong
• 机 构: DepartmentofComputerScienceandTechnology,HeilongjiangProvinceKeyLabofSenior-EducationforElectronicEn
• 出 处: 国际计算机前沿大会会议论文集
• 发表日期: 2015年1期
• 关键词: DATA mining DATA STREAM SUBSPACE CLUSTERING FEATURE selection DIMENSION reductio
• 基金项目: This work is supported by the science and technology project 12531542 of the education office of Heilongjiang province.

The main aim of data stream subspace clustering is to find clusters in subspace in rational time accurately. The existing data stream subspace clustering algorithms are greatly influenced by parameters. Due to the flaws of traditional data stream subspace