Table 2.

Comparison of different FSA methods

Methods Description Classifier dependency Computational cost Applicable scenarios Challenges
Filter Complete featureselection based onevaluation functionbefore classification. Independent Low High-dimensional datasets and datapreprocessing No guarantee to find theoptimal subset.
Wrapper Select the optimalfeature subset basedon training resultsof classifier. Dependent High Not applicable tohigh-dimensional datasets Poor generalization ability and long computation time.
Embedded Integrate the featureselection and modeltraining. Dependent Low High-dimensional datasets Possibility of overfitting.

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.