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» Accelerated EM-based clustering of large data sets
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IV
2005
IEEE
136views Visualization» more  IV 2005»
13 years 11 months ago
Improved Visual Clustering of Large Multi-dimensional Data Sets
Lowering computational cost of data analysis and visualization techniques is an essential step towards including the user in the visualization. In this paper we present an improve...
Eduardo Tejada, Rosane Minghim
ISCI
2002
118views more  ISCI 2002»
13 years 5 months ago
Hyper-rectangle based segmentation and clustering of large video data sets
Video information processing has been one of great challenging areas in the database community since it needs huge amount of storage space and processing power. In this paper, we ...
Seok-Lyong Lee, Chin-Wan Chung
IJON
2008
173views more  IJON 2008»
13 years 6 months ago
Support vector machine classification for large data sets via minimum enclosing ball clustering
Support vector machine (SVM) is a powerful technique for data classification. Despite of its good theoretic foundations and high classification accuracy, normal SVM is not suitabl...
Jair Cervantes, Xiaoou Li, Wen Yu, Kang Li
CAINE
2003
13 years 7 months ago
A Genetic Algorithm for Clustering on Very Large Data Sets
Clustering is the process of subdividing an input data set into a desired number of subgroups so that members of the same subgroup are similar and members of different subgroups h...
Jim Gasvoda, Qin Ding
EUROPAR
1999
Springer
13 years 10 months ago
Parallel k/h-Means Clustering for Large Data Sets
This paper describes the realization of a parallel version of the k/h-means clustering algorithm. This is one of the basic algorithms used in a wide range of data mining tasks. We ...
Kilian Stoffel, Abdelkader Belkoniene