kknn-package: Weighted k-Nearest Neighbors Classification and Clustering
In 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
(http://www.stat.uni-muenchen.de/sfb386/papers/dsp/paper399.ps)
Hechenbichler K. (2005) Ensemble-Techniken und ordinale Klassifikation, PhD-thesis
kknn documentation built on May 2, 2019, 3:26 a.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 (http://www.stat.uni-muenchen.de/sfb386/papers/dsp/paper399.ps)
Hechenbichler K. (2005) Ensemble-Techniken und ordinale Klassifikation, PhD-thesis
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