Adaptive Real-Time Clustering Algorithm with Resource-Aware

Xiaoni Wang ()
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Xiaoni Wang: Beijing Information Science and Technology University

A chapter in LISS 2014, 2015, pp 1635-1639 from Springer

Abstract: Abstract In order to effectively consider the problems of limited resources of equipment node’s memory capacity, processing power, and battery power in the environment of data stream, the method of fast and effective extraction mining knowledge is analyzed. DRA-Kmeans clustering algorithm is proposed on the basis of CluStream algorithm, which combines with RA-Cluster algorithm and introduces the adaptive clustering method and improves CluStream algorithm. The clustering accuracy is increased and clustering effective range is optimized in the case of resource constraints.

Keywords: Resource-aware; Clustering; Adaptive; Algorithm; Real-time (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-43871-8_235

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DOI: 10.1007/978-3-662-43871-8_235

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