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» Parallel k h-Means Clustering for Large Data Sets
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CLUSTER
2009
IEEE
13 years 8 months ago
Design alternatives for implementing fence synchronization in MPI-2 one-sided communication for InfiniBand clusters
Scientific computing has seen an immense growth in recent years. The Message Passing Interface (MPI) has become the de-facto standard for parallel programming model for distribute...
Gopalakrishnan Santhanaraman, Tejus Gangadharappa,...
SISAP
2008
IEEE
147views Data Mining» more  SISAP 2008»
14 years 5 months ago
An Empirical Evaluation of a Distributed Clustering-Based Index for Metric Space Databases
Similarity search has been proved suitable for searching in very large collections of unstructured data objects. We are interested in efficient parallel query processing under si...
Veronica Gil Costa, Mauricio Marín, Nora Re...
BMCBI
2006
158views more  BMCBI 2006»
13 years 11 months ago
Parallelization of multicategory support vector machines (PMC-SVM) for classifying microarray data
Background: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the p...
Chaoyang Zhang, Peng Li, Arun Rajendran, Youping D...
ICPR
2004
IEEE
14 years 12 months ago
Landscape of Clustering Algorithms
Numerous clustering algorithms, their taxonomies and evaluation studies are available in the literature. Despite the diversity of different clustering algorithms, solutions delive...
Anil K. Jain, Alexander P. Topchy, Martin H. C. La...
PAMI
2006
134views more  PAMI 2006»
13 years 10 months ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee