A half-split grid clustering algorithm by simulating cell division

Clustering, one of the important data mining techniques, has two main processing methods on data-based similarity clustering and space-based density grid clustering. The latter has more advantage than the former on larger and multiple shape and density dataset. However, due to a global partition of...

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Veröffentlicht in:	2014 International Joint Conference on Neural Networks (IJCNN) S. 2183 - 2189
Hauptverfasser:	Wenxiang Dou, Jinglu Hu
Format:	Tagungsbericht
Sprache:	Englisch Japanisch
Veröffentlicht:	IEEE 01.07.2014
Schlagworte:	Algorithm design and analysis Binary trees Clustering algorithms data clustering Educational institutions grid clustering Noise Partitioning algorithms Shape unsupervised learningt
ISSN:	2161-4393
Online-Zugang:	Volltext
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