An incremental grid clustering algorithm based on density-dimension-tree

This paper proposes an approach to improve the existing grid-based clustering algorithms with a further grid partition strategy and an incremental clustering function. This new algorithm IGDDT is based on density-dimension tree, which has the ability to reuse the previous clustering results, and obt...

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Bibliographic Details

Published in:	Proceedings (International Conference on Machine Learning and Cybernetics.) Vol. 1; pp. 356 - 361
Main Authors:	Jiaolong Huang, Xiaolong Zhang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.07.2013
Subjects:	Abstracts Data stream Density-dimension tree Grid Incremental clustering Switches
ISSN:	2160-133X
Online Access:	Get full text
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