郑州轻工业学院学报（自然科学版）Issue(1)：98-102,5.DOI:10.3969/j.issn.2095-476X.2014.01.021
基于动态滑动窗口的改进数据流聚类算法
Improved data stream clustering algorithm over sliding window
摘要
Abstract
An optimization algorithm DCluStream was proposed which processed data over sliding window. The method adopted online-offline clustering framework of CluStream.The real time of the data object coming and out of sliding window was introduced into the characteristics of the cluster,adjusting the win-dow size reasonably in the limited memory resources environment.Using the time decay mechanism on his-torical data could reduce the impact of new data object,which could get better clustering results.The exper-imental results showed that compared with the algorthm CluStream,data processing efficiency of the algo-rithm was relatively higher with saving memory.关键词
滑动窗口/数据流聚类算法/时间衰减机制Key words
sliding window/data stream clustering algorithm/time decay mechanism分类
信息技术与安全科学引用本文复制引用
许颖梅..基于动态滑动窗口的改进数据流聚类算法[J].郑州轻工业学院学报（自然科学版）,2014,(1):98-102,5.基金项目
河南省基础与前沿技术研究计划项目 （）
