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ICPR
2002
IEEE
14 years 11 months ago
Data Clustering Using Evidence Accumulation
We explore the idea of evidence accumulation for combining the results of multiple clusterings. Initially, n d-dimensional data is decomposed into a large number of compact cluste...
Ana L. N. Fred, Anil K. Jain
WCRE
2007
IEEE
14 years 4 months ago
Lossless Comparison of Nested Software Decompositions
Reverse engineering legacy software systems often involves the employment of clustering algorithms that automatically decompose a software system into subsystems. The decompositio...
Mark Shtern, Vassilios Tzerpos
DATAMINE
2006
89views more  DATAMINE 2006»
13 years 9 months ago
Scalable Clustering Algorithms with Balancing Constraints
Clustering methods for data-mining problems must be extremely scalable. In addition, several data mining applications demand that the clusters obtained be balanced, i.e., be of ap...
Arindam Banerjee, Joydeep Ghosh
PAKDD
2010
ACM
134views Data Mining» more  PAKDD 2010»
13 years 11 months ago
A Robust Seedless Algorithm for Correlation Clustering
Abstract. Finding correlation clusters in the arbitrary subspaces of highdimensional data is an important and a challenging research problem. The current state-of-the-art correlati...
Mohammad S. Aziz, Chandan K. Reddy
PKDD
2010
Springer
146views Data Mining» more  PKDD 2010»
13 years 7 months ago
Nonparametric Bayesian Clustering Ensembles
Forming consensus clusters from multiple input clusterings can improve accuracy and robustness. Current clustering ensemble methods require specifying the number of consensus clust...
Pu Wang, Carlotta Domeniconi, Kathryn Blackmond La...