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snn
View on CRAN: Click
here
Download and install snn package within the R console
Install from CRAN:
install.packages("snn")
Install from Github:
library("remotes")
install_github("cran/snn")
Install by package version:
library("remotes")
install_version("snn", "1.1")
Attach the package and use:
library("snn")
Maintained by
Wei Sun
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-07-28
Latest Update: 2015-08-23
Description:
Implement K-nearest neighbor classifier, weighted nearest neighbor classifier, bagged nearest neighbor classifier, optimal weighted nearest neighbor classifier and stabilized nearest neighbor classifier, and perform model selection via 5 fold cross-validation for them. This package also provides functions for computing the classification error and classification instability of a classification procedure.
How to cite:
Wei Sun (2015). snn: Stabilized Nearest Neighbor Classifier. R package version 1.1, https://cran.r-project.org/web/packages/snn. Accessed 22 Apr. 2025.
Previous versions and publish date:
1.0 (2015-07-28 08:03)
Other packages that cited snn R package
View snn citation profile
Other R packages that snn depends,
imports, suggests or enhances
Complete documentation for snn
Functions, R codes and Examples using
the snn R package
Some associated functions: cv.tune . mybnn . mycis . mydata . myerror . myknn . myownn . mysnn . mywnn . snn-package .
Some associated R codes: cv.tune.R . mybnn.R . mycis.R . mydata.R . myerror.R . myknn.R . myownn.R . mysnn.R . mywnn.R . Full snn package functions and examples
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