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Fast k-nearest-neighbour search algorithm for nonparametric classification

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2 Author(s)
Seongjoon Baek ; Sch. of Electr. Eng., Seoul Nat. Univ., South Korea ; Koeng-Mo Sung

A fast KNN search algorithm for nonparametric classification is presented. The proposed algorithm uses a projection vector to accelerate the classification process by eliminating the need to calculate a large number of distances. The algorithm also uses a linked list to efficiently retain the intermediate k closest vector and is combined with the PDS technique to obtain further acceleration. Simulation results confirm the effectiveness of the proposed algorithms

Published in:

Electronics Letters  (Volume:36 ,  Issue: 21 )