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- W2572859058 abstract "Clustering is a useful and ubiquitous tool in data analysis. Broadly speaking, clustering is the problem of grouping a data set into several groups such that, under some definition of “similarity,” similar items are in the same group and dissimilar items are in different groups. In this chapter we focus on clustering in a streaming scenario where a small number of data items are presented at a time and we cannot store all the data points. Thus, our algorithms are restricted to a single pass. The space restriction is typically sublinear, $o(n)$ , where the number of input points is $n$ ." @default.
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- W2572859058 date "2016-01-01" @default.
- W2572859058 modified "2023-10-14" @default.
- W2572859058 title "Clustering Data Streams" @default.
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- W2572859058 doi "https://doi.org/10.1007/978-3-540-28608-0_8" @default.
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