Improved salp swarm algorithm based on particle swarm optimization for feature selection

Faculty Science Year: 2019
Type of Publication: ZU Hosted Pages:
Authors:
Mohamed El Sayed Ahmed Muhamed
Journal: International journal of Trend in Research and Development SPRINGER Volume:
Keywords : Improved salp swarm algorithm based on particle    
Abstract:
Feature selection (FS) is a machine learning process commonly used to reduce the high dimensionality problems of datasets. This task permits to extract the most representative information of high sized pools of data, reducing the computat
    
     
 
       

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  • Mohamed El Sayed Ahmed Muhamed, "Open cluster membership probability based on K-means clustering algorithm", Springer, 2016 More

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