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Abstract: Clustering has been an active research area of great practical importance for recent years. Most previous clustering models have focused on grouping objects with similar values on a (sub)set of dimensions (e.g., subspace cluster) and assumed that every object has an associated value on every dimension (e.g., bicluster). These existing cluster models may not always be adequate in capturing coherence exhibited among objects. Strong coherence may still exist among a set of objects (on a subset of... (Update)
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BibTeX entry: (Update)
J. Yang, W. Wang, H. Wang, and P. S. Yu. deltacluster: Capturing subspace correlation in a large data set. In ICDE, 2002. http://citeseer.ist.psu.edu/yang02deltaclusters.html More
@inproceedings{ yang02deltacluster,
author = "Jiong Yang and Wei Wang and Haixun Wang and Philip S. Yu",
title = "delta-cluster: Capturing Subspace Correlation in a Large Data Set",
booktitle = "{ICDE}",
year = "2002",
url = "citeseer.ist.psu.edu/yang02deltaclusters.html" }
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