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WCRE
1999
IEEE
15 years 10 months ago
Experiments with Clustering as a Software Remodularization Method
As valuable software systems get old, reverse engineering becomes more and more important to the companies that have to maintain the code. Clustering is a key activity in reverse ...
Nicolas Anquetil, Timothy Lethbridge
177
Voted
SIGMOD
1998
ACM
99views Database» more  SIGMOD 1998»
15 years 10 months ago
CURE: An Efficient Clustering Algorithm for Large Databases
Clustering, in data mining, is useful for discovering groups and identifying interesting distributions in the underlying data. Traditional clustering algorithms either favor clust...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
145
Voted
IWEC
2007
15 years 7 months ago
A Survey on Projector-Based PC Clustered Distributed-Rendering Large Screen Displays and Techniques
Large screen display systems are common display systems nowadays. Especially projector-based PC cluster large screen display systems share most of large screen display system marke...
Munjae Song, Seongwon Park
183
Voted
GECCO
2004
Springer
131views Optimization» more  GECCO 2004»
15 years 11 months ago
PolyEDA: Combining Estimation of Distribution Algorithms and Linear Inequality Constraints
Estimation of distribution algorithms (EDAs) are population-based heuristic search methods that use probabilistic models of good solutions to guide their search. When applied to co...
Jörn Grahl, Franz Rothlauf
173
Voted
CGF
2010
144views more  CGF 2010»
15 years 6 months ago
Illustrative White Matter Fiber Bundles
Diffusion Tensor Imaging (DTI) has made feasible the visualization of the fibrous structure of the brain white matter. In the last decades, several fiber-tracking methods have bee...
Ron Otten, Anna Vilanova, Huub van De Wetering