kknn-package: Weighted k-Nearest Neighbors Classification and Clustering

In kknn: Weighted k-Nearest Neighbors

Weighted k-Nearest Neighbors Classification and Clustering

Description

Weighted k-Nearest Neighbors Classification, Regression and spectral Clustering

Details

The complete list of functions can be displayed with library(help = kknn).

Author(s)

Klaus Schliep
Klaus Hechenbichler

Maintainer: Klaus Schliep <[e-mail]>

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 (\Sexpr[results=rd]{tools:::Rd_expr_doi("10.5282/ubm/epub.1769")})

Hechenbichler K. (2005) Ensemble-Techniken und ordinale Klassifikation, PhD-thesis

See Also

Useful links:

• https://github.com/KlausVigo/kknn

• Report bugs at https://github.com/KlausVigo/kknn/issues

kknn documentation built on April 16, 2025, 9:07 a.m.