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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Vydané v:	2014 International Joint Conference on Neural Networks (IJCNN) s. 2183 - 2189
Hlavní autori:	Wenxiang Dou, Jinglu Hu
Médium:	Konferenčný príspevok..
Jazyk:	English Japanese
Vydavateľské údaje:	IEEE 01.07.2014
Predmet:	Algorithm design and analysis Binary trees Clustering algorithms data clustering Educational institutions grid clustering Noise Partitioning algorithms Shape unsupervised learningt
ISSN:	2161-4393
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