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134
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NIPS
2003
15 years 6 months ago
Geometric Clustering Using the Information Bottleneck Method
We argue that K–means and deterministic annealing algorithms for geometric clustering can be derived from the more general Information Bottleneck approach. If we cluster the ide...
Susanne Still, William Bialek, Léon Bottou
138
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GECCO
2008
Springer
135views Optimization» more  GECCO 2008»
15 years 5 months ago
The directional EDA for global optimization
This article presents a robust EDA for global optimization with real parameters. The approach is based on the linear combination of individuals of two populations. One is the curr...
Pedro P. Mayorga-Alvarez, Arturo Hernández ...
147
Voted
GECCO
2008
Springer
171views Optimization» more  GECCO 2008»
15 years 5 months ago
Particle swarm clustering ensemble
Extracting natural groups of the unlabeled data is known as clustering. To improve the stability and robustness of the clustering outputs, clustering ensembles have emerged recent...
Abbas Ahmadi, Fakhri Karray, Mohamed Kamel
IJIS
2007
155views more  IJIS 2007»
15 years 4 months ago
Clustering web search results using fuzzy ants
Algorithms for clustering web search results have to be efficient and robust. Furthermore they must be able to cluster a dataset without using any kind of a priori information, s...
Steven Schockaert, Martine De Cock, Chris Cornelis...
129
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CG
2002
Springer
15 years 4 months ago
Dynamic superimposition of synthetic objects on rigid and simple-deformable real objects
A current challenge in augmented reality applications is the accurate superimposition of synthetic objects on real objects within the environment. This challenge is heightened whe...
Yann Argotti, Larry S. Davis, Valerie Outters, Jan...