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ESANN
2008
15 years 1 months ago
Parallelizing single patch pass clustering
Clustering algorithms such as k-means, the self-organizing map (SOM), or Neural Gas (NG) constitute popular tools for automated information analysis. Since data sets are becoming l...
Nikolai Alex, Barbara Hammer
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
OSDI
2006
ACM
16 years 4 days ago
Ceph: A Scalable, High-Performance Distributed File System
We have developed Ceph, a distributed file system that provides excellent performance, reliability, and scalability. Ceph maximizes the separation between data and metadata manage...
Sage A. Weil, Scott A. Brandt, Ethan L. Miller, Da...
SC
2003
ACM
15 years 5 months ago
Dyn-MPI: Supporting MPI on Non Dedicated Clusters
Distributing data is a fundamental problem in implementing efficient distributed-memory parallel programs. The problem becomes more difficult in environments where the participa...
D. Brent Weatherly, David K. Lowenthal, Mario Naka...