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DAGSTUHL
2007
13 years 9 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
PAKDD
2009
ACM
123views Data Mining» more  PAKDD 2009»
14 years 14 days 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»
14 years 8 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»
14 years 6 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
14 years 2 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