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SDM
2009
SIAM
220views Data Mining» more  SDM 2009»
14 years 2 months ago
Bayesian Cluster Ensembles.
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
Hongjun Wang, Hanhuai Shan, Arindam Banerjee
ICDE
2008
IEEE
124views Database» more  ICDE 2008»
14 years 6 months ago
Mining Approximate Order Preserving Clusters in the Presence of Noise
Subspace clustering has attracted great attention due to its capability of finding salient patterns in high dimensional data. Order preserving subspace clusters have been proven to...
Mengsheng Zhang, Wei Wang 0010, Jinze Liu
FOCS
2003
IEEE
13 years 10 months ago
Clustering with Qualitative Information
We consider the problem of clustering a collection of elements based on pairwise judgments of similarity and dissimilarity. Bansal, Blum and Chawla (in: Proceedings of 43rd FOCS, ...
Moses Charikar, Venkatesan Guruswami, Anthony Wirt...
DATAMINE
2006
142views more  DATAMINE 2006»
13 years 5 months ago
Sequential Pattern Mining in Multi-Databases via Multiple Alignment
To efficiently find global patterns from a multi-database, information in each local database must first be mined and summarized at the local level. Then only the summarized infor...
Hye-Chung Kum, Joong Hyuk Chang, Wei Wang 0010