FINDIT: a fast and intelligent subspace clustering algorithm using dimension voting

The aim of this paper is to present a novel subspace clustering method named FINDIT. Clustering is the process of finding interesting patterns residing in the dataset by grouping similar data objects from dissimilar ones based on their dimensional values. Subspace clustering is a new area of cluster...

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Veröffentlicht in:	Information and software technology 2004-03, Vol.46 (4), p.255-271
Hauptverfasser:	Woo, Kyoung-Gu, Lee, Jeong-Hoon, Kim, Myoung-Ho, Lee, Yoon-Joon
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clustering Computer science Data clustering Data mining FINDIT High dimension Studies Subspace clustering
Online-Zugang:	Volltext
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