Simultaneous Feature extraction and Selection of Microarray Data Using Fuzzy-Rough Based Multiobjective Nonnegative Matrix Factorization

Faculty Science Year: 2017
Type of Publication: ZU Hosted Pages:
Authors:
Journal: Journal of Intelligent & Fuzzy Systems IOS press Volume:
Keywords : Simultaneous Feature extraction , Selection , Microarray Data    
Abstract:
The microarray data are important to detect diseases, however, there are a large number of genes with small sample size, and this leads to slow convergence speed and reducing the prediction accuracy. Therefore, reducing the dimension of dat
   
     
 
       

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