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SYNASC
2005
IEEE
14 years 4 months ago
2005
IEEE
The aim of this work is to analyze the applicability of crowding differential evolution to unsupervised clustering. The basic idea of this approach, interpreting the clustering pr...
BIBE
2004
IEEE
14 years 2 months ago
2004
IEEE
Clustering has been one of the most popular methods to discover useful biological insights from DNA microarray. An interesting paradigm is simultaneous clustering of both genes an...
MLMTA
2007
13 years 11 months ago
2007
— Cluster Ensembles is a framework for combining multiple partitionings obtained from separate clustering runs into a final consensus clustering. This framework has attracted mu...
PR
2006
13 years 10 months ago
2006
Fuzzy-clustering methods, such as fuzzy k-means and Expectation Maximization, allow an object to be assigned to multiple clusters with different degrees of membership. However, th...
ECCV
2008
Springer
15 years 7 days ago
2008
Springer
Abstract. We describe a new method for unsupervised structure learning of a hierarchical compositional model (HCM) for deformable objects. The learning is unsupervised in the sense...