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» Approximation algorithms for projective clustering
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119
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EMMCVPR
2005
Springer
15 years 6 months ago
Optimizing the Cauchy-Schwarz PDF Distance for Information Theoretic, Non-parametric Clustering
This paper addresses the problem of efficient information theoretic, non-parametric data clustering. We develop a procedure for adapting the cluster memberships of the data pattern...
Robert Jenssen, Deniz Erdogmus, Kenneth E. Hild II...
105
Voted
ICPR
2008
IEEE
15 years 7 months ago
Clustering by evidence accumulation on affinity propagation
If there are more clusters than the ideal, each intrinsic cluster will be split into several subsets. Theoretically, this split can be arbitrary and neighboring data points have a ...
Xuqing Zhang, Fei Wu, Yueting Zhuang
BMCBI
2007
237views more  BMCBI 2007»
15 years 22 days ago
FLAME, a novel fuzzy clustering method for the analysis of DNA microarray data
Background: Data clustering analysis has been extensively applied to extract information from gene expression profiles obtained with DNA microarrays. To this aim, existing cluster...
Limin Fu, Enzo Medico
100
Voted
EOR
2008
93views more  EOR 2008»
15 years 20 days ago
Approximate methods for convex minimization problems with series-parallel structure
Consider a problem of minimizing a separable, strictly convex, monotone and differentiable function on a convex polyhedron generated by a system of m linear inequalities. The probl...
Adi Ben-Israel, Genrikh Levin, Yuri Levin, Boris R...
123
Voted
MM
2006
ACM
203views Multimedia» more  MM 2006»
15 years 6 months ago
Learning image manifolds by semantic subspace projection
In many image retrieval applications, the mapping between highlevel semantic concept and low-level features is obtained through a learning process. Traditional approaches often as...
Jie Yu, Qi Tian