Dynamic grid-based clustering over data stream
Qingbao Liu · Jisuanji yingyong yanjiu · 2008
This paper presented an incremental data stream clustering algorithm(DGCDS) based on grid and density,which discovered clusters with arbitrary shape.It solved a problem that losing space influence of data in some of grid-based algorithms with improving the method of density calculation,and this algorithm also set key parameter automatically to reduce the influence of factitious parameter.