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2006

Reverse Tree Clustering

11 years 1 months ago
Reverse Tree Clustering
Common document clustering algorithms utilize models that either divide a corpus into smaller clusters or gather individual documents into clusters. Hierarchical Agglomerative Clustering, a common gathering algorithm runs in O(n2 ) to O(n3 ) time, depending on the linkage of documents. In contrast, Bisecting K-Means Clustering has been shown to run in linear time with respect to the number of documents to cluster, although other factors significantly affect run time. We propose a clustering algorithm bases on an inverted-index matrix of terms and an inverted term tree model.
Casey Bartman, Jamal R. Alsabbagh
Added 30 Oct 2010
Updated 30 Oct 2010
Type Conference
Year 2006
Where DMIN
Authors Casey Bartman, Jamal R. Alsabbagh
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