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» Landscape of Clustering Algorithms
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CSIE
2009
IEEE
15 years 11 months ago
K-Means on Commodity GPUs with CUDA
K-means algorithm is one of the most famous unsupervised clustering algorithms. Many theoretical improvements for the performance of original algorithms have been put forward, whi...
Hong-tao Bai, Li-li He, Dan-tong Ouyang, Zhan-shan...
IEEEPACT
1998
IEEE
15 years 11 months ago
A New Heuristic for Scheduling Parallel Programs on Multiprocessor
In this paper, we present an efficient algorithm, called CASS-II, for task clustering without task duplication. Unlike the DSC algorithm, which is empirically the best known algor...
Jing-Chiou Liou, Michael A. Palis
SDM
2010
SIAM
200views Data Mining» more  SDM 2010»
15 years 8 months ago
Residual Bayesian Co-clustering for Matrix Approximation
In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...
Hanhuai Shan, Arindam Banerjee
ESWA
2010
105views more  ESWA 2010»
15 years 4 months ago
A numerical comparison between simulated annealing and evolutionary approaches to the cell formation problem
The Cell Formation Problem is a crucial component of a cell production design in a manufacturing system. This problem consists of a set of product parts to be manufactured in a gr...
Andres Pailla, Athila R. Trindade, Victor Parada, ...
SDM
2011
SIAM
198views Data Mining» more  SDM 2011»
14 years 9 months ago
Exemplar-based Robust Coherent Biclustering
The biclustering, co-clustering, or subspace clustering problem involves simultaneously grouping the rows and columns of a data matrix to uncover biclusters or sub-matrices of the...
Kewei Tu, Xixiu Ouyang, Dingyi Han, Vasant Honavar