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GFKL
2004
Springer
14 years 3 months ago
2004
Springer
In this work we introduce a method for classification and visualization. In contrast to simultaneous methods like e.g. Kohonen SOM this new approach, called KMC/EDAM, runs through...
IBPRIA
2003
Springer
14 years 3 months ago
2003
Springer
A straightforward and efficient way to discover clustering tendencies in data using a recently proposed Maximum Variance Clustering algorithm is proposed. The approach shares the ...
ICDM
2002
IEEE
14 years 3 months ago
2002
IEEE
One of the problems with existing clustering methods is that the interpretation of clusters may be difficult. Two different approaches have been used to solve this problem: conce...
SIGIR
2006
ACM
14 years 4 months ago
2006
ACM
Text clustering is most commonly treated as a fully automated task without user feedback. However, a variety of researchers have explored mixed-initiative clustering methods which...
EMMCVPR
1997
Springer
14 years 2 months ago
1997
Springer
Abstract. In this paper a rigorous mathematical framework of deterministic annealing and mean-field approximation is presented for a general class of partitioning, clustering and ...