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» From Comparing Clusterings to Combining Clusterings
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ESANN
2007
13 years 10 months ago
Feature clustering and mutual information for the selection of variables in spectral data
Spectral data often have a large number of highly-correlated features, making feature selection both necessary and uneasy. A methodology combining hierarchical constrained clusteri...
Catherine Krier, Damien François, Fabrice R...
ESANN
2007
13 years 10 months ago
Kernel PCA based clustering for inducing features in text categorization
We study dimensionality reduction or feature selection in text document categorization problem. We focus on the first step in building text categorization systems, that is the cho...
Zsolt Minier, Lehel Csató
IJON
2010
94views more  IJON 2010»
13 years 7 months ago
Optimizing an organized modularity measure for topographic graph clustering: A deterministic annealing approach
This paper proposes an organized generalization of Newman and Girvan’s modularity measure for graph clustering. Optimized via a deterministic annealing scheme, this measure prod...
Fabrice Rossi, Nathalie Villa-Vialaneix
DAC
2006
ACM
14 years 10 months ago
Optimal simultaneous mapping and clustering for FPGA delay optimization
Both technology mapping and circuit clustering have a large impact on FPGA designs in terms of circuit performance, area, and power dissipation. Existing FPGA design flows carry o...
Joey Y. Lin, Deming Chen, Jason Cong
GLOBECOM
2006
IEEE
14 years 3 months ago
Toposemantic Network Clustering
— We study the problem of building an optimal network-layer clustering hierarchy, where the optimality can be defined using three potentially conflicting metrics: state, delay ...
Leonid B. Poutievski, Kenneth L. Calvert, Jim Grif...