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ICML
2006
IEEE
16 years 6 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
GECCO
2004
Springer
127views Optimization» more  GECCO 2004»
15 years 11 months ago
Improved Niching and Encoding Strategies for Clustering Noisy Data Sets
Clustering is crucial to many applications in pattern recognition, data mining, and machine learning. Evolutionary techniques have been used with success in clustering, but most su...
Olfa Nasraoui, Elizabeth Leon
SAC
2005
ACM
15 years 11 months ago
On unit task linear-nonlinear two-cluster scheduling problem
In parallel and distributed processing, tasks are ordinarily clustered and assigned to different processors or machines before they are scheduled. The assignment of tasks to proc...
Zhichun Xiao, Wing Ning Li, John Jing-Fu Jenq
ITSL
2008
15 years 7 months ago
An Empirical Comparison of NML Clustering Algorithms
Clustering can be defined as a data assignment problem where the goal is to partition the data into nonhierarchical groups of items. In our previous work, we suggested an informati...
Petri Kontkanen, Petri Myllymäki
IJSN
2008
114views more  IJSN 2008»
15 years 6 months ago
Adaptive clustering for scalable key management in dynamic group communications
: Group key management has received a particular attention, these last years, in both academic and industry research communities. This is due to the economical relevance of group-b...
Yacine Challal, Said Gharout, Abdelmadjid Bouabdal...