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EHHM: Electrical Harmony based Hybrid Meta-heuristic for Feature Selection
2020
IEEE Access
Selecting the most relevant features from a high dimensional dataset is always a challenging task. In this regard, the feature selection (FS) method acts as a solution to this problem mainly in the domain of data mining and machine learning. It aims at improving the performance of a learning model greatly by choosing the relevant features and ignoring the redundant ones. Besides, this also helps to achieve efficient use of space and time by the learning model under consideration. Though over
doi:10.1109/access.2020.3019809
fatcat:ijgckqekk5f3dcbn5bwvuknn3m