Feature Selection with Fluid Mechanics Inspired Particle Swarm Optimization for Microarray Data
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资源说明:Deoxyribonucleic acid (DNA) microarray gene expression data has been widely utilized in the field of functional genomics, since it is helpful to study cancer, cells, tissues, organisms etc.But the sample sizes are relatively small compared to the number of genes, so feature selection is very necessary to reduce complexity and increase the classification accuracy of samples. In this paper, a completely new improvement over particle swarm optimization (PSO) based on fluid mechanics is proposed for
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