| Document Date: 2006-06-22 13:02:08
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City Philadelphia / / Company Neural Information Processing Systems / Yahoo! / / Country Jordan / United States / / Currency USD / / / IndustryTerm static clustering algorithms / real-world applications / k-means algorithm / online document clustering setting / offline algorithms / evolutionary clustering algorithm / retrospective and on-line event detection / particular clustering algorithm / online counterparts / online decisions / classical clustering algorithms / online statistical aggregation stage / offline solution / online version / search engine queries / agglomerative clustering algorithm / agglomerative hierarchical clustering algorithm / greedy algorithm / online evolutionary clustering algorithm / tree-based clustering algorithms / data mining / greedy approximation algorithm / online topic detection / online setting / Online document clustering / online search queries / particular underlying clustering algorithm / online machine learning / evolutionary clustering algorithms / / NaturalFeature Constructing Mt / / Person R. O. Duda / Morgan Kaufmann / Ravi Kumar Andrew Tomkins / / / Position Retrieval General / / ProvinceOrState Pennsylvania / Connecticut / / PublishedMedium Machine Learning / Journal of Machine Learning Research / / Technology tree-based clustering algorithms / static clustering algorithms / k-means algorithm / particular clustering algorithm / agglomerative clustering algorithm / evolutionary clustering algorithm / greedy approximation algorithm / underlying clustering algorithms / online evolutionary clustering algorithm / greedy algorithm / underlying clustering algorithm / clustering algorithm / particular underlying clustering algorithm / data mining / evolutionary clustering algorithms / search engine / machine learning / two classical clustering algorithms / Offline algorithms / agglomerative hierarchical clustering algorithm / /
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Evolutionary Clustering Deepayan Chakrabarti Ravi Kumar Andrew Tomkins