179 search results - page 18 / 36 » Parallel k h-Means Clustering for Large Data Sets |
CCGRID
2006
IEEE
14 years 4 months ago
2006
IEEE
Security-sensitive applications that access and generate large data sets are emerging in various areas such as bioinformatics and high energy physics. Data grids provide data-inte...
TVCG
2012
12 years 1 months ago
2012
—In this paper, we present an effective and scalable system for multivariate volume data visualization and analysis with a novel transfer function interface design that tightly c...
SDM
2009
SIAM
14 years 8 months ago
2009
SIAM
Biclustering refers to simultaneous clustering of objects and their features. Use of biclustering is gaining momentum in areas such as text mining, gene expression analysis and co...
ICCS
2007
Springer
14 years 5 months ago
2007
Springer
Abstract. Multiphysics and multiscale simulation systems are emerging as a new grand challenge in computational science, largely because of increased computing power provided by th...
DATAMINE
2006
13 years 10 months ago
2006
Clustering methods for data-mining problems must be extremely scalable. In addition, several data mining applications demand that the clusters obtained be balanced, i.e., be of ap...