【作者单位】1School of Computer Science and Technology, Taiyuan Normal University, Yuci 030619, China;2Shanxi Key Laboratory of Intelligent Optimization Computing and Blockchain Technology, Yuci 030619, China;3School of Computer Science and Technology, Taiyuan University of Science and Technology, Taiyuan 030024, China;4School of Intelligent Manufacturing, Shanxi Vocational University of Engineering Science and Technology, Yuci 030619, China
【年份】2025
【卷号】Vol.181
【页码】113442
【ISSN】1568-4946
【摘要】 Data stream clustering is a fundamental problem in many streaming data analysis applications, which faces the following key challenges: efficiently utilizing initial results to update clusters; effectively managing concept drift when dealing with n...
