Data Stream Fuzzy Clustering Algorithm Based on Relative Density
基于相对密度的数据流模糊聚类算法

This paper provided a relative density based data stream fuzzy clustering algorithm which inherits the advantages of relative density based clustering and fuzzy clustering, so it can discover arbitrary-shape and multi-resolution clusters. With the subtraction operator on the set of micro-clusters which is defined according to the spatial overlapping relations among micro-clusters, this algorithm can do clustering on any user-specified data stream window. Compared with C1uStream algorithm on the two areas of clustering quality and processing time, this algorithm demonstrates a clear advantage.