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GECCO
2003
Springer
167views Optimization» more  GECCO 2003»
15 years 12 months ago
Dimensionality Reduction via Genetic Value Clustering
Abstract. Feature extraction based on evolutionary search offers new possibilities for improving classification accuracy and reducing measurement complexity in many data mining and...
Alexander P. Topchy, William F. Punch
AUSAI
2006
Springer
15 years 10 months ago
Data Clustering and Visualization Using Cellular Automata Ants
This paper presents two novel features of an emergent data visualization method coined "cellular ants": unsupervised data class labeling and shape negotiation. This metho...
Andrew Vande Moere, Justin James Clayden, Andy Don...
IJAR
2006
92views more  IJAR 2006»
15 years 6 months ago
Possibilistic clustering approach to trackless ring Pattern Recognition in RICH counters
The pattern recognition problem in Ring Imaging CHerenkov (RICH) counters concerns the identification of an unknown number of rings whose centers and radii are assumed to be unkno...
A. M. Massone, Léonard Studer, Francesco Ma...
TKDE
2002
133views more  TKDE 2002»
15 years 6 months ago
Binary Rule Generation via Hamming Clustering
The generation of a set of rules underlying a classification problem is performed by applying a new algorithm, called Hamming Clustering (HC). It reconstructs the and-or expressio...
Marco Muselli, Diego Liberati
INFORMATICALT
2010
103views more  INFORMATICALT 2010»
15 years 1 months ago
Multistage K-Means Clustering for Scenario Tree Construction
Abstract. In stochastic programming and decision analysis, an important issue consists in the approximate representation of the multidimensional stochastic underlying process in th...
Kristina Sutiene, Dalius Makackas, Henrikas Pranev...