73 search results - page 9 / 15 » Missing Values Imputation for a Clustering Genetic Algorithm |
AUSAI
2004
Springer
15 years 3 months ago
2004
Springer
The K-means Fast Learning Artificial Neural Network (KFLANN) is a small neural network bearing two types of parameters, the tolerance, δ and the vigilance, µ. In previous papers,...
175
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ICDE
2007
IEEE
15 years 11 months ago
2007
IEEE
In spite of the great progress in the data mining field in recent years, the problem of missing and uncertain data has remained a great challenge for data mining algorithms. Many ...
GECCO
1999
Springer
15 years 1 months ago
1999
Springer
The Terrain-Based Genetic Algorithm (TBGA) is a self-tuning version of the traditional Cellular Genetic Algorithm (CGA). In a TBGA, various combinations of parameter values appear...
110
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SDM
2009
SIAM
15 years 6 months ago
2009
SIAM
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
CEC
2007
IEEE
15 years 4 months ago
2007
IEEE
—In this paper, an automatic segmentation technique of multispectral magnetic resonance image of the brain using a new fuzzy point symmetry based genetic clustering technique is ...