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» Clustering with the Connectivity Kernel
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CVPR
2004
IEEE
15 years 6 days ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic
KDD
2005
ACM
157views Data Mining» more  KDD 2005»
14 years 10 months ago
A fast kernel-based multilevel algorithm for graph clustering
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
NIPS
2008
13 years 11 months ago
On the Reliability of Clustering Stability in the Large Sample Regime
Clustering stability is an increasingly popular family of methods for performing model selection in data clustering. The basic idea is that the chosen model should be stable under...
Ohad Shamir, Naftali Tishby
ISCAPDCS
2003
13 years 11 months ago
Job Management in Grids of MOSIX Clusters
EnFuzion and MOSIX are two packages that represent different approaches to cluster management. EnFuzion is a user-level queuing system that can dispatch a predetermined number of ...
David Abramson, Amnon Barak, Colin Enticott
IJHPCA
2006
77views more  IJHPCA 2006»
13 years 10 months ago
An Interoperability Approach to System Software, Tools, and Libraries for Clusters
Systems software for clusters typically derives from a multiplicity of sources: the kernel itself, software associated with a particular distribution, site-specific purchased or o...
Ewing L. Lusk, Narayan Desai, Rick Bradshaw, Andre...