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CCGRID
2007
IEEE
13 years 11 months ago
A Simulation Study of Data Partitioning Algorithms for Multiple Clusters
Abstract— Recently we proposed algorithms for concurrent execution on multiple clusters [9]. In this case, data partitioning is done at two levels; first, the data is distribute...
Chen Yu, Dan C. Marinescu, Howard Jay Siegel, John...
ICDM
2003
IEEE
158views Data Mining» more  ICDM 2003»
13 years 10 months ago
Combining Multiple Weak Clusterings
A data set can be clustered in many ways depending on the clustering algorithm employed, parameter settings used and other factors. Can multiple clusterings be combined so that th...
Alexander P. Topchy, Anil K. Jain, William F. Punc...
CSDA
2006
84views more  CSDA 2006»
13 years 4 months ago
Three-mode partitioning
The three-mode partitioning model is a clustering model for three-way three-mode data sets that implies a simultaneous partitioning of all three modes involved in the data. In the...
Jan Schepers, Iven Van Mechelen, Eva Ceulemans
CLUSTER
2006
IEEE
13 years 11 months ago
Matrix Multiplication on Two Interconnected Processors
This paper presents a new partitioning algorithm to perform matrix multiplication on two interconnected heterogeneous processors. Data is partitioned in a way which minimizes the ...
Brett A. Becker, Alexey L. Lastovetsky
PKDD
2001
Springer
114views Data Mining» more  PKDD 2001»
13 years 9 months ago
A Study on the Hierarchical Data Clustering Algorithm Based on Gravity Theory
This paper discusses the clustering quality and complexities of the hierarchical data clustering algorithm based on gravity theory. The gravitybased clustering algorithm simulates ...
Yen-Jen Oyang, Chien-Yu Chen, Tsui-Wei Yang