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2015 | OriginalPaper | Chapter

Adaptive Real-Time Clustering Algorithm with Resource-Aware

Author : Xiaoni Wang

Published in: LISS 2014

Publisher: Springer Berlin Heidelberg

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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.

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previous chapter The Effect of Financial Subsidies on Hybrid Recycling Channels of Closed-Loop Supply Chain
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Literature
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Metadata
Title
Adaptive Real-Time Clustering Algorithm with Resource-Aware
Author
Xiaoni Wang
Copyright Year
2015
Publisher
Springer Berlin Heidelberg
Book
LISS 2014

Print ISBN: 978-3-662-43870-1

Electronic ISBN: 978-3-662-43871-8

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-662-43871-8_235