An evolutionary algorithm for clustering data streams with a variable number of clusters-Reference-Cited by-同舟云学术

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An evolutionary algorithm for clustering data streams with a variable number of clusters

Published:2017-01 Issue: Volume:67 Page:228-238
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Andrade Silva Jonathan de^ORCID,Hruschka Eduardo Raul,Gama João^ORCID

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference52 articles.

1. Streamkm++: A clustering algorithm for data streams;Ackermann;ACM Journal of Experimental Algorithmics,2012

2. Approximating extent measures of points;Agarwal;Journal of the ACM,2004

3. A framework for clustering evolving data streams;Aggarwal,2003

4. A framework for projected clustering of high dimensional data streams;Aggarwal,2004

5. Streaming k-means approximation;Ailon,2009

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