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As each channel contains 70 characteristics, removing channel redundancy has more significance than removing redundant features.
(4)(Optional) Choose number of redundant features.
Dimensionality reduction takes care of multicollinearity, by removes redundant features.
That procedure can be used to remove redundant features.
The optimal feature selection method retains the useful features and discards the redundant features.
The proposed automatic scheme is noticed to retaining informative features or eliminating redundant features simultaneously.
Next, kernel factor analysis is performed for dimension reduction to remove the irrelevant and redundant features.
Hence, feature selection is carried out to exclude noisy, irrelevant, and redundant features.
This problem is due to the use of potentially performance-damaging irrelevant and/or redundant features.
After deleting redundant features, we replace the missing values or wrong ones using the KNN method.
Identifying the independence of discriminant features would ensure the detection of least redundant features.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com