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CCGRID
2006
IEEE
14 years 24 days ago
Density-Based Clustering for Similarity Search in a P2P Network
P2P systems represent a large portion of the Internet traffic which makes the data discovery of great importance to the user and the broad Internet community. Hence, the power of ...
Mouna Kacimi, Kokou Yétongnon
BMCBI
2008
142views more  BMCBI 2008»
13 years 9 months ago
Genetic weighted k-means algorithm for clustering large-scale gene expression data
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...
Fang-Xiang Wu
CORR
2011
Springer
151views Education» more  CORR 2011»
13 years 4 months ago
A supervised clustering approach for fMRI-based inference of brain states
We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject’s behavior during a scanning se...
Vincent Michel, Alexandre Gramfort, Gaël Varo...
KDD
2005
ACM
124views Data Mining» more  KDD 2005»
14 years 9 months ago
A multinomial clustering model for fast simulation of computer architecture designs
Computer architects utilize simulation tools to evaluate the merits of a new design feature. The time needed to adequately evaluate the tradeoffs associated with adding any new fe...
Kaushal Sanghai, Ting Su, Jennifer G. Dy, David R....
CLUSTER
2006
IEEE
14 years 3 months ago
Automatic Clustering for Self-Organizing Grids
Computational grids have not scaled effectively due to administrative hurdles to resource and user participation. Most production grids are essentially multi-site supercomputer ce...
Weishuai Yang, Nael B. Abu-Ghazaleh, Michael J. Le...