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» Experiments on Graph Clustering Algorithms
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ICML
2006
IEEE
14 years 11 months ago
A new approach to data driven clustering
We consider the problem of clustering in its most basic form where only a local metric on the data space is given. No parametric statistical model is assumed, and the number of cl...
Arik Azran, Zoubin Ghahramani
ISCC
2006
IEEE
129views Communications» more  ISCC 2006»
14 years 4 months ago
FACT: A New Fuzzy Adaptive Clustering Technique
Clustering belongs to the set of mathematical problems which aim at classification of data or objects into related sets or classes. Many different pattern clustering approaches bas...
Faezeh Ensan, Mohammad Hossien Yaghmaee, Ebrahim B...
IEEEPACT
2002
IEEE
14 years 3 months ago
Exploiting Pseudo-Schedules to Guide Data Dependence Graph Partitioning
This paper presents a new modulo scheduling algorithm for clustered microarchitectures. The main feature of the proposed scheme is that the assignment of instructions to clusters ...
Alex Aletà, Josep M. Codina, F. Jesú...
ICPR
2008
IEEE
14 years 4 months ago
Object recognition using graph spectral invariants
Graph structures have been proved important in high level-vision since they can be used to represent structural and relational arrangements of objects in a scene. One of the probl...
Bai Xiao, Richard C. Wilson, Edwin R. Hancock
SDM
2009
SIAM
123views Data Mining» more  SDM 2009»
14 years 7 months ago
Randomization Techniques for Graphs.
Mining graph data is an active research area. Several data mining methods and algorithms have been proposed to identify structures from graphs; still, the evaluation of those resu...
Gemma C. Garriga, Kai Puolamäki, Sami Hanhij&...