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» A Quantum-inspired Genetic Algorithm for data clustering
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IJIT
2004
13 years 6 months ago
Genetic Algorithm for Feature Subset Selection with Exploitation of Feature Correlations from Continuous Wavelet Transform: a re
A genetic algorithm (GA) based feature subset selection algorithm is proposed in which the correlation structure of the features is exploited. The subset of features is validated a...
Gert Van Dijck, Marc M. Van Hulle, M. Wevers
TSMC
2008
189views more  TSMC 2008»
13 years 5 months ago
Automatic Clustering Using an Improved Differential Evolution Algorithm
Differential evolution (DE) has emerged as one of the fast, robust, and efficient global search heuristics of current interest. This paper describes an application of DE to the aut...
Swagatam Das, Ajith Abraham, Amit Konar
PAKDD
2007
ACM
158views Data Mining» more  PAKDD 2007»
13 years 11 months ago
Density-Sensitive Evolutionary Clustering
In this study, we propose a novel evolutionary algorithm-based clustering method, named density-sensitive evolutionary clustering (DSEC). In DSEC, each individual is a sequence of ...
Maoguo Gong, Licheng Jiao, Ling Wang, Liefeng Bo
ICDAR
2003
IEEE
13 years 10 months ago
Unsupervised Feature Selection Using Multi-Objective Genetic Algorithms for Handwritten Word Recognition
In this paper a methodology for feature selection in unsupervised learning is proposed. It makes use of a multiobjective genetic algorithm where the minimization of the number of ...
Marisa E. Morita, Robert Sabourin, Flávio B...
ICPR
2006
IEEE
14 years 6 months ago
A Prototypes-Embedded Genetic K-means Algorithm
This paper presents a genetic algorithm (GA) for Kmeans clustering. Instead of the widely applied stringof-group-numbers encoding, we encode the prototypes of the clusters into th...
Hsin-Chia Fu, Hsin-Min Wang, Shih-Sian Cheng, Yi-H...