kknn-package: Weighted k-Nearest Neighbors Classification and Clustering
In KlausVigo/kknn: Weighted k-Nearest Neighbors
Description
Author(s)
References
Description
Weighted k-Nearest Neighbors Classification, Regression and spectral Clustering
The complete list of functions can be displayed with library(help = kknn).
Author(s)
Klaus Schliep
Klaus Hechenbichler
Maintainer: Klaus Schliep <klaus.schliep@gmail.com>
References
Hechenbichler K. and Schliep K.P. (2004) Weighted k-Nearest-Neighbor Techniques and Ordinal Classification, Discussion Paper 399, SFB 386, Ludwig-Maximilians University Munich
(https://doi.org/10.5282/ubm/epub.1769)
Hechenbichler K. (2005) Ensemble-Techniken und ordinale Klassifikation, PhD-thesis
KlausVigo/kknn documentation built on June 4, 2021, 2:42 p.m.
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Description Author(s) References
Description
Weighted k-Nearest Neighbors Classification, Regression and spectral Clustering
The complete list of functions can be displayed with library(help = kknn).
Author(s)
Klaus Schliep
Klaus Hechenbichler
Maintainer: Klaus Schliep <klaus.schliep@gmail.com>
References
Hechenbichler K. and Schliep K.P. (2004) Weighted k-Nearest-Neighbor Techniques and Ordinal Classification, Discussion Paper 399, SFB 386, Ludwig-Maximilians University Munich (https://doi.org/10.5282/ubm/epub.1769)
Hechenbichler K. (2005) Ensemble-Techniken und ordinale Klassifikation, PhD-thesis
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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