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Encyclopedia of Machine Learning and Data Mining
Clustering is one of the most popular data mining techniques. In this article, we review the relevant methods and algorithms for designing cluster algorithms under the data streams computational model, and discuss research directions in tracking evolving clusters. Definition Clustering is the process of grouping objects into different groups, such that the common properties of data in each subset is high, and between different subsets is low. The data stream clustering problem is defined as todoi:10.1007/978-1-4899-7687-1_41 fatcat:blemwt2r4bhqhch4mk3rfls5ve