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ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
13 years 10 months ago
Combining Multiple Weak Clusterings
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
Alexander P. Topchy, Anil K. Jain, William F. Punc...
PKDD
2004
Springer
138views Data Mining» more  PKDD 2004»
13 years 10 months ago
Combining Multiple Clustering Systems
Three methods for combining multiple clustering systems are presented and evaluated, focusing on the problem of finding the correspondence between clusters of different systems. ...
Constantinos Boulis, Mari Ostendorf
ICDM
2005
IEEE
150views Data Mining» more  ICDM 2005»
13 years 10 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
INTERACTION
2009
ACM
13 years 11 months ago
A binary method for fast computation of inter and intra cluster similarities for combining multiple clusterings
In this paper, we introduce a novel binary method for fast computation of an objective function to measure inter and intra class similarities, which is used for combining multiple...
Selim Mimaroglu, A. Murat Yagci
JMLR
2002
157views more  JMLR 2002»
13 years 4 months ago
Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions
This paper introduces the problem of combining multiple partitionings of a set of objects into a single consolidated clustering without accessing the features or algorithms that d...
Alexander Strehl, Joydeep Ghosh