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» From Comparing Clusterings to Combining Clusterings
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CIDM
2009
IEEE
13 years 10 months ago
An architecture and algorithms for multi-run clustering
—This paper addresses two main challenges for clustering which require extensive human effort: selecting appropriate parameters for an arbitrary clustering algorithm and identify...
Rachsuda Jiamthapthaksin, Christoph F. Eick, Vadee...
CSMR
2006
IEEE
13 years 11 months ago
Using Version Information in Architectural Clustering - A Case Study
This paper describes a case study that uses clustering to group classes of an existing objectoriented system of significant size into subsystems. The clustering process is based o...
Andreas Wierda, Eric Dortmans, Lou J. Somers
WACV
2005
IEEE
13 years 11 months ago
Ensemble Methods in the Clustering of String Patterns
We address the problem of clustering of contour images from hardware tools based on string descriptions, in a comparative study of cluster combination techniques. Several clusteri...
André Lourenço, Ana L. N. Fred
ICDM
2005
IEEE
150views Data Mining» more  ICDM 2005»
13 years 11 months ago
Combining Multiple Clusterings by Soft Correspondence
Combining multiple clusterings arises in various important data mining scenarios. However, finding a consensus clustering from multiple clusterings is a challenging task because ...
Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu
ICDM
2007
IEEE
170views Data Mining» more  ICDM 2007»
13 years 11 months ago
Consensus Clusterings
In this paper we address the problem of combining multiple clusterings without access to the underlying features of the data. This process is known in the literature as clustering...
Nam Nguyen, Rich Caruana