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PKDD
2004
Springer
14 years 29 days ago
2004
Springer
Three methods for combining multiple clustering systems are presented and evaluated, focusing on the problem of finding the correspondence between clusters of different systems. ...
NIPS
2008
13 years 9 months ago
2008
We introduce a family of unsupervised algorithms, numerical taxonomy clustering, to simultaneously cluster data, and to learn a taxonomy that encodes the relationship between the ...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
SDM
2011
SIAM
12 years 10 months ago
2011
SIAM
When multiple data sources are available for clustering, an a priori data integration process is usually required. This process may be costly and may not lead to good clusterings,...
KDD
2010
ACM
13 years 11 months ago
2010
ACM
Modern data mining settings involve a combination of attributevalued descriptors over entities as well as specified relationships between these entities. We present an approach t...