kknn

Weighted k-Nearest Neighbors

Weighted k-Nearest Neighbors for Classification, Regression and Clustering.

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kknn

kknn is a R package for Weighted k-Nearest Neighbors Classification, Regression and Clustering.

You can install

  • the latest released version install.packages("kknn")
  • the latest development version devtools::install_github("KlausVigo/kknn")

If you use kknn please cite:

Hechenbichler K. and Schliep K.P. (2004) Weighted k-Nearest-Neighbor Techniques and Ordinal Classification, Discussion Paper 399, SFB 386, Ludwig-Maximilians University Munich

License

kknn is licensed under the GPLv2.

Reference manual

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install.packages("kknn")

1.4.1 by Klaus Schliep, a year ago

https://github.com/KlausVigo/kknn

Report a bug at https://github.com/KlausVigo/kknn/issues

Browse source code at https://github.com/cran/kknn

Authors: Klaus Schliep [aut, cre] , Klaus Hechenbichler [aut] , Antoine Lizee [ctb]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports graphics, igraph, Matrix, stats

Suggests tinytest

Imported by CCI, RSDA, funcml, jrSiCKLSNMF, rgnoisefilt, rminer, swfscMisc, traineR.

Suggested by GenericML, MachineShop, butcher, caretSDM, fastml, finetune, healthyR.ai, ml, mlr, mlr3automl, mlr3learners, mlrMBO, orbital, parsnip, rtemis, sense, stacks, tidyAML, tune, viralx, workflowsets.

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