关键词: 数据流, 相异度, 聚类, 混合属性

Abstract: Data stream clustering is an important issue in data stream mining.In this paper，a novel algorithm is presented for clustering data stream with heterogeneous attributes.It adopts dissimilarity instead of the common clustering distance，and an equivalent dissimilarity matrix is used in the clustering process.Then the empirical evidence of this algorithm’s superiority over CluStream and HCluStream algorithms on the real data sets is given.

Key words: data stream, dissimilarity, cluster, heterogeneous attributes