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SKNN: 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.
Getting started
Browse package contents
Package details |
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| Author | Yarong Yang [aut, cre], Nader Ebrahimi [aut], Yoram Rubin [aut], Jacob Zhang [aut] |
| Maintainer | Yarong Yang <Yi.YA_yaya@hotmail.com> |
| License | GPL-2 |
| Version | 4.1 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
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