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- W2114869611 abstract "Tools for automatically clustering streaming data are becoming increasingly important as data acquisition technology continues to advance. In this paper we present an extension of conventional kernel density clustering to a spatio-temporal setting, and also develop a novel algorithmic scheme for clustering data streams. Experimental results demonstrate both the high efficiency and other benefits of this new approach" @default.
- W2114869611 created "2016-06-24" @default.
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- W2114869611 date "2006-01-01" @default.
- W2114869611 modified "2023-10-16" @default.
- W2114869611 title "Unsupervised Clustering In Streaming Data" @default.
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- W2114869611 doi "https://doi.org/10.1109/icdmw.2006.165" @default.
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