计算机应用研究2017，Vol.34Issue(9)：2700-2702,2713,4.DOI:10.3969/j.issn.1001-3695.2017.09.030
一种基于质量估算的空间数据流聚类算法研究
Clustering algorithm on spatial data stream based on mass estimation
摘要
Abstract
To solve the problem which traditional data stream clustering algorithm lost the spatial location features,this paper proposed a spatial data stream clustering method based on mass estimation.Through the spatial partitioning with trees,the arriving data could be mapped to different division areas.By calculating the density of each subdomain on the basis of the tree's mass and introducing the attenuation factor to online dynamic maintenance of the cluster at the same time,the evolution of the spatial data stream information could be accurately reflected.This method guarantees the low complexity in less time,the data space features which meet the requirements of space data stream clustering algorithm can be saved better.关键词
空间数据挖掘/空间数据流/数据流聚类/质量估算/空间划分Key words
spatial data mining/spatial data stream/data stream clustering/mass estimation/spatial partitioning分类
信息技术与安全科学引用本文复制引用
樊超,李宏伟,朱燕,施方林..一种基于质量估算的空间数据流聚类算法研究[J].计算机应用研究,2017,34(9):2700-2702,2713,4.基金项目
国家自然科学基金资助项目(41571394) （41571394）
