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Weighted k-Nearest Neighbors Classification and Clustering
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\description{
Weighted k-Nearest Neighbors Classification, Regression and spectral Clustering
The complete list of functions can be displayed with \code{library(help = kknn)}.
}
\author{
Klaus Schliep \cr
Klaus Hechenbichler
Maintainer: Klaus Schliep <klaus.schliep@gmail.com>
}
\references{
Hechenbichler K. and Schliep K.P. (2004) \emph{Weighted k-Nearest-Neighbor Techniques and Ordinal Classification}, Discussion Paper 399, SFB 386, Ludwig-Maximilians University Munich
(\url{https://doi.org/10.5282/ubm/epub.1769})
Hechenbichler K. (2005) \emph{Ensemble-Techniken und ordinale Klassifikation}, PhD-thesis