Statistical Analysis of the Performance of Rank Fusion Methods Applied to a Homogeneous Ensemble Feature Ranking

Algorithm 1

Pseudocode of ensemble homogeneous feature ranking.

	Input: ► the given dataset
	Input: ► the number of sampling
	Input: ► the number of selected instances in a subsampled where
	Input: ► the feature ranking algorithm
	Input: ► the rank fusion rank algorithm
	Output: ► the feature ranking result as the output
(1)	fortodo in parallel
(2)	Create a local dataset by subsampling
(3)	Send to a worker node or worker thread
(4)	= generate the intermediate feature ranking by applying algorithm
(5)	End for
(6)	= fusion intermediate feature ranking by applying algorithm
(7)	Return