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» Approximation Algorithms for Tensor Clustering
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101
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DAGSTUHL
2007
15 years 3 months ago
Approximating min-max k-clustering
We consider the problems of set partitioning into k clusters with minimum total cost and minimum of the maximum cost of a cluster. The cost function is given by an oracle, and we ...
Asaf Levin
113
Voted
PAKDD
2009
ACM
123views Data Mining» more  PAKDD 2009»
15 years 6 months ago
Clustering with Lower Bound on Similarity
We propose a new method, called SimClus, for clustering with lower bound on similarity. Instead of accepting k the number of clusters to find, the alternative similarity-based app...
Mohammad Al Hasan, Saeed Salem, Benjarath Pupacdi,...
PODS
2009
ACM
119views Database» more  PODS 2009»
16 years 2 months ago
Exceeding expectations and clustering uncertain data
Database technology is playing an increasingly important role in understanding and solving large-scale and complex scientific and societal problems and phenomena, for instance, un...
Sudipto Guha, Kamesh Munagala
WILF
2009
Springer
791views Fuzzy Logic» more  WILF 2009»
16 years 1 months ago
Fuzzy C-Means Inspired Free Form Deformation Technique for Registration
This paper presents a novel method aimed to free form deformation function approximation for purpose of image registration. The method is currently feature-based. The algorithm i...
Edoardo Ardizzone, Orazio Gambino, Roberto Gallea,...
IJCNN
2008
IEEE
15 years 8 months ago
On the sample mean of graphs
— We present an analytic and geometric view of the sample mean of graphs. The theoretical framework yields efficient subgradient methods for approximating a structural mean and ...
Brijnesh J. Jain, Klaus Obermayer