K different multi-local means based on the k-nearest neighbors are employed.
The harmonic mean distance is firstly introduced in the KNN classification problems.
The classification error rates can be significantly reduced.
Less sensitive to the choice of neighborhood size k.
Easily designed in practice with a little extra computation complexity.
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