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FLAIRS
2001

Hierarchical Representatives Clustering with Hybrid Approach

9 years 8 months ago
Hierarchical Representatives Clustering with Hybrid Approach
Clustering is a discoveringprocess of meaningfulintbrmationby groupingsimilar data into compactclusters. Mostof traditional clustering methodsare in favor of small datasets andhavedifficulties handling very large datasets. Theyare not adequateclustering methodsfor partitioning hugedatasets in data mining perspective. Wepropose a newclustering technique, HRC(hierarchicalrepresentatives clustering), that can be applied to large datasets andfind clusters withgood quality. HRCis a twophase algorithmthat take advantage of a hybrid approachthat combineSOMandhierarchical clustering. Experimentalresults showthat HRC candiscoverbetter clusters efficiently in comparisonto traditional clustering methods.
Byung-Joo An, Eunju Kim, Yillbyung Lee
Added 31 Oct 2010
Updated 31 Oct 2010
Type Conference
Year 2001
Where FLAIRS
Authors Byung-Joo An, Eunju Kim, Yillbyung Lee
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