Comparative Study on Fast Feature Selection

Ahood Naif Alharbi, Mohamed Dahab

Abstract


No one can deny how feature selection became an important aspect of the machine learning field. Feature selection has proved its ability to overcome the problem that known as the curse of dimensionality, which raises when a number of features for a given data is large and required to be expressed in a space of high dimensions. In this paper, we are going to investigate the algorithms in feature selection as well as the enhanced ones in the acceleration of the feature selection process. We have shown the algorithms, their limitations, and how authors have enhanced them.

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