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Furthermore, large redundant features are eliminated, and classification time is reduced.
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However it is not able to remove redundant features because if one of the features has a large weight, the redundant feature will also get a large weight, but according to recursive feature elimination algorithm, only the features with small weight are removed; therefore the final gene set may have redundancy [ 32, 33].
As each channel contains 70 characteristics, removing channel redundancy has more significance than removing redundant features.
However, the disadvantage might be that: some redundant features or noise data may exist among the large feature space.
(4)(Optional) Choose number of redundant features.
The optimal feature selection method retains the useful features and discards the redundant features.
Dimensionality reduction takes care of multicollinearity, by removes redundant features.
That procedure can be used to remove redundant features.
The proposed automatic scheme is noticed to retaining informative features or eliminating redundant features simultaneously.
Hence, feature selection is carried out to exclude noisy, irrelevant, and redundant features.
Identifying the independence of discriminant features would ensure the detection of least redundant features.
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