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» PGAC: A Parallel Genetic Algorithm for Data Clustering
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ICPP
2000
IEEE
14 years 3 days ago
A Scalable Parallel Subspace Clustering Algorithm for Massive Data Sets
Clustering is a data mining problem which finds dense regions in a sparse multi-dimensional data set. The attribute values and ranges of these regions characterize the clusters. ...
Harsha S. Nagesh, Sanjay Goil, Alok N. Choudhary
PAMI
1998
88views more  PAMI 1998»
13 years 7 months ago
Large-Scale Parallel Data Clustering
—Algorithmic enhancements are described that enable large computational reduction in mean square-error data clustering. These improvements are incorporated into a parallel data-c...
Dan Judd, Philip K. McKinley, Anil K. Jain
DATAMINE
1999
140views more  DATAMINE 1999»
13 years 7 months ago
A Scalable Parallel Algorithm for Self-Organizing Maps with Applications to Sparse Data Mining Problems
Abstract. We describe a scalable parallel implementation of the self organizing map (SOM) suitable for datamining applications involving clustering or segmentation against large da...
Richard D. Lawrence, George S. Almasi, Holly E. Ru...
GECCO
2007
Springer
207views Optimization» more  GECCO 2007»
14 years 1 months ago
A data parallel approach to genetic programming using programmable graphics hardware
In recent years the computing power of graphics cards has increased significantly. Indeed, the growth in the computing power of these graphics cards is now several orders of magn...
Darren M. Chitty