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» Large-Scale Parallel Data Clustering
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PAMI
2011
14 years 9 months ago
Parallel Spectral Clustering in Distributed Systems
Spectral clustering algorithms have been shown to be more effective in finding clusters than some traditional algorithms such as k-means. However, spectral clustering suffers fro...
Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen ...
BMCBI
2008
204views more  BMCBI 2008»
15 years 2 months ago
EST2uni: an open, parallel tool for automated EST analysis and database creation, with a data mining web interface and microarra
Background: Expressed sequence tag (EST) collections are composed of a high number of single-pass, redundant, partial sequences, which need to be processed, clustered, and annotat...
Javier Forment, Francisco Gilabert Villamón...
CCGRID
2003
IEEE
15 years 7 months ago
Leveraging Non-Uniform Resources for Parallel Query Processing
Clusters are now composed of non-uniform nodes with different CPUs, disks or network cards so that customers can adapt the cluster configuration to the changing technologies and t...
Tobias Mayr, Philippe Bonnet, Johannes Gehrke, Pra...
130
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ESIAT
2009
IEEE
15 years 10 days ago
Study on Architecture of Photogrammetric Parallel Processing System Based on Cluster Computing
Comparing with the rapidly increasing acquiring technology for remotely sensed data, the data processing technologies have been following behind, especially in computing speed and ...
Liu Hangye, Sui Xuelian, Zong Jingchun
126
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ESANN
2008
15 years 4 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