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Improved Nonnegative Matrix Factorization Based Feature Selection for High Dimensional Data Analysis
Publikováno v:
Applied Mechanics and Materials. :2344-2348
Feature selection has become the focus of research areas of applications with high dimensional data. Nonnegative matrix factorization (NMF) is a good method for dimensionality reduction but it cant select the optimal feature subset for its a feature