Clustering Multivariate Data Streams by Correlating Attributes using Fractal Dimension

@article{Bones2016ClusteringMD,
  title={Clustering Multivariate Data Streams by Correlating Attributes using Fractal Dimension},
  author={Christian Cesar Bones and Luciana A. S. Romani and Elaine P. M. de Sousa},
  journal={JIDM},
  year={2016},
  volume={7},
  pages={249-264}
}
A data stream is a flow of data produced continuously along the time. Storing and analyzing such information become challenging due to exponential growth of the data volume collected. Recently, some algorithms have been proposed to cluster data streams as a whole, but just few of them deal with multivariate data streams. Even so, these algorithms merely aggregate the attributes without touching upon the correlation among them. Aiming to overcome this issue, we propose a new framework to cluster… CONTINUE READING

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