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» Co-Scheduling of Computation and Data on Computer Clusters
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NIPS
2001
15 years 5 months ago
Spectral Relaxation for K-means Clustering
The popular K-means clustering partitions a data set by minimizing a sum-of-squares cost function. A coordinate descend method is then used to nd local minima. In this paper we sh...
Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming ...
NIPS
2001
15 years 5 months ago
Fast, Large-Scale Transformation-Invariant Clustering
In previous work on "transformed mixtures of Gaussians" and "transformed hidden Markov models", we showed how the EM algorithm in a discrete latent variable mo...
Brendan J. Frey, Nebojsa Jojic
NIPS
2004
15 years 5 months ago
Efficient Out-of-Sample Extension of Dominant-Set Clusters
Dominant sets are a new graph-theoretic concept that has proven to be relevant in pairwise data clustering problems, such as image segmentation. They generalize the notion of a ma...
Massimiliano Pavan, Marcello Pelillo
PARA
2000
Springer
15 years 7 months ago
Ship Hull Hydrodynamic Analysis Using Distributed Shared Memory
Abstract. In this article we present the results obtained from the execution of a commercial Computational Fluid Dynamics program on a cluster of personal computers. The communicat...
João P. Marques Silva, Paulo Guedes
CSREAESA
2006
15 years 5 months ago
FEMPI: A Lightweight Fault-tolerant MPI for Embedded Cluster Systems
- Ever-increasing demands of space missions for data returns from their limited processing and communications resources have made the traditional approach of data gathering, data c...
Rajagopal Subramaniyan, Vikas Aggarwal, Adam Jacob...