Feature selection is one of the most important aspects of multivariate data analysis. Through feature selection, both of the redundant and irrelevant information can be eliminated and the data dimensionality can be reduced, so that the computational processing is simplified. Furthermore, it can improve the generalization performance and understandability of models. Thus, feature selection plays an important role in data analysis.
This dissertation studied the feature selection methods for high dimension...
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