ECML
2006
Springer
13 years 8 months ago
2006
Springer
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
ECML
2006
Springer
13 years 8 months ago
2006
Springer
A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
In semi-supervised clustering, domain knowledge can be converted to constraints and used to guide the clustering. In this paper we propose a feature selection algorithm for semi-s...
SDM
2009
SIAM
14 years 1 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) ...
KDD
2007
ACM
14 years 5 months ago
2007
ACM
Relational clustering has attracted more and more attention due to its phenomenal impact in various important applications which involve multi-type interrelated data objects, such...
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
ICML
2004
IEEE
14 years 5 months ago
2004
IEEE
