基于网格和密度的数据流聚类算法
Clustering Algorithm Over Data Stream Based on Grid and Density
本文改进了基于密度和网格的CLIQUE算法，并把它应用于数据流聚类中。通过新的摘要数据结构，网格不仅能记录数据流的统计信息，还能记录空间信息。实现了一个对非球状数据集敏感、能对历史信息查询、并能进行演化分析的数据流聚类算法。
his paper improves CLIQUE algorithm based on grid and density,then apply it to clustering data stream.By a new synopsis construction,grids can record not only statistical information but also geometric information.Implementing a clustering algorithm which can query history, evolution data stream and is sensitive to concave shape data set.
胡燕、李敏
计算技术、计算机技术
数据流聚类网格密度演化
data streamclusteringgriddensityevolution
胡燕,李敏.基于网格和密度的数据流聚类算法[EB/OL].(2009-04-08)[2025-08-11].http://www.paper.edu.cn/releasepaper/content/200904-234.点此复制
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