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SDM
2012
SIAM
297views Data Mining» more  SDM 2012»
13 years 2 months ago
A Flexible Open-Source Toolbox for Scalable Complex Graph Analysis
The Knowledge Discovery Toolbox (KDT) enables domain experts to perform complex analyses of huge datasets on supercomputers using a high-level language without grappling with the ...
Adam Lugowski, David M. Alber, Aydin Buluç,...
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
15 years 3 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
CCGRID
2007
IEEE
15 years 6 months ago
Virtual Clusters on the Fly - Fast, Scalable, and Flexible Installation
One of the advantages in virtualized computing clusters compared to traditional shared HPC environments is their ability to accommodate user-specific system customization. Howeve...
Hideo Nishimura, Naoya Maruyama, Satoshi Matsuoka
91
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UAI
2008
15 years 1 months ago
Flexible Priors for Exemplar-based Clustering
Exemplar-based clustering methods have been shown to produce state-of-the-art results on a number of synthetic and real-world clustering problems. They are appealing because they ...
Daniel Tarlow, Richard S. Zemel, Brendan J. Frey
USENIX
2004
15 years 1 months ago
C-JDBC: Flexible Database Clustering Middleware
Large web or e-commerce sites are frequently hosted on clusters. Successful open-source tools exist for clustering the front tiers of such sites (web servers and application serve...
Emmanuel Cecchet, Julie Marguerite, Willy Zwaenepo...