A Super K-Nearest Neighbor (SKNN) Classification Algorithm

It's a Super K-Nearest Neighbor classification method with using kernel density to describe weight of the distance between a training observation and the testing sample.


Reference manual

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1.0 by Yi Ya, 3 days ago

Browse source code at https://github.com/cran/SKNN

Authors: Yi Ya [aut, cre] , Yarong Yang [aut] , Nader Ebrahimi [aut] , Jacob Zhang [aut]

Documentation:   PDF Manual  

GPL-2 license

Depends on methods, stats

See at CRAN