Single-stage filter-based local feature selection using an immune algorithm for high-dimensional microarray data
Abstract: Highlights•Single-stage filter local feature selection is proposed for high-dimensional data.•Each sample neighborhood is assigned a unique feature subset.•An improved discrete immune algorithm is developed to search feature subsets.•The method is implemented in parallel to reduce training time.
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