Distributed Data Stream Clustering Algorithm Based on Density Grid
Lin Xiudan, Guojun Mao · Jisuanji gongcheng · 2012
A density grid based clustering algorithm is proposed,which is suitable for the distributed data stream environment.This algorithm updates the data streams quickly and reflects the change of data streams by grid space in local sites.Center site is responsible for collecting and merging the grid structures of all local sites.Then algorithm clusters and optimizes on the global grid structure to generate the global clustering pattern.Experimental results show that the algorithm can reduce network traffic and achieve higher global clustering qualities.