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» Parallel k h-Means Clustering for Large Data Sets
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CLUSTER
2000
IEEE
15 years 2 months ago
Partition Repositories for Partition Cloning - OS Independent Software Maintenance in Large Clusters of PCs
As a novel approach to software maintenance in large clusters of PCs requiring multiple OS installations we implemented partition cloning and partition repositories as well as a s...
Felix Rauch, Christian Kurmann, Thomas Stricker
IPPS
2003
IEEE
15 years 2 months ago
Design and Evaluation of a Parallel HOP Clustering Algorithm for Cosmological Simulation
Clustering, or unsupervised classification, has many uses in fields that depend on grouping results from large amount of data, an example being the N-body cosmological simulation ...
Ying Liu, Wei-keng Liao, Alok N. Choudhary
EUROPAR
2004
Springer
15 years 1 months ago
Efficient Parallel Hierarchical Clustering
Hierarchical agglomerative clustering (HAC) is a common clustering method that outputs a dendrogram showing all N levels of agglomerations where N is the number of objects in the d...
Manoranjan Dash, Simona Petrutiu, Peter Scheuerman...
CLUSTER
2007
IEEE
15 years 3 months ago
Performance analysis of a user-level memory server
Abstract—Large-scale parallel applications often produce immense quantities of data that need to be analyzed. To avoid performing repeated, costly disk accesses, analysis of larg...
Scott Pakin, Greg Johnson
ICDCS
1995
IEEE
15 years 1 months ago
Maintaining Consistency of Data in Mobile Distributed Environments
To deal with the frequent, foreseeable and variable disconnections that occur in a mobile environment, we introduce a exible, two-level consistency model. Semantically related or ...
Evaggelia Pitoura, Bharat K. Bhargava