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Efficient rough-set-based attribute reduction algorithm with nearest neighbour searching

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3 Author(s)
Wang, J. ; Dept. of Auto-test & Control, Harbin Inst. of Technol. ; Peng, X.-Y. ; Peng, Y.

A fast nearest neighbour searching method with gradually shrinking search space is proposed to reduce the computing complexity of indiscernibility relation in the rough-set-based attribute reduction algorithm. Experimental results show that the proposed algorithm computed attribute reduction more efficiently

Published in:

Electronics Letters  (Volume:43 ,  Issue: 10 )