计算机工程与科学2011，Vol.33Issue(10)：149-153,5.DOI:10.3969/j.issn.1007-130X.2011.10.027
基于自适应网格划分的数据流聚类算法
A Data Stream Clustering Algorithm Based on Adapative Grid Partitioning
邢长征 1张国凯1
作者信息
- 1. 辽宁工程技术大学电子与信息工程学院,辽宁葫芦岛125105
- 折叠
摘要
Abstract
This paper proposes a data stream clustering algorithm based on adaptive grid partitioning. By using adaptive grid partitioning to improve the traditional methed of dividing grids in a balanced method,we make the grid division more reasonable and reduce the impact on the result, which improves the precision of grid partitioning. Using a pruning method to ruduce the algorithm's execution time is effective. Finally, the experimental results verify the effectiveness of the proposed algorithm.关键词
数据流/聚类/滑动窗口/网格Key words
data stream clustering/ sliding window/ grid分类
信息技术与安全科学引用本文复制引用
邢长征,张国凯..基于自适应网格划分的数据流聚类算法[J].计算机工程与科学,2011,33(10):149-153,5.
