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neighbr  

Classification, Regression, Clustering with K Nearest Neighbors
View on CRAN: Click here


Download and install neighbr package within the R console
Install from CRAN:
install.packages("neighbr")

Install from Github:
library("remotes")
install_github("cran/neighbr")

Install by package version:
library("remotes")
install_version("neighbr", "1.0.3")



Attach the package and use:
library("neighbr")
Maintained by
Dmitriy Bolotov
[Scholar Profile | Author Map]
First Published: 2017-02-23
Latest Update: 2020-03-19
Description:
Classification, regression, and clustering with k nearest neighbors algorithm. Implements several distance and similarity measures, covering continuous and logical features. Outputs ranked neighbors. Most features of this package are directly based on the PMML specification for KNN.
How to cite:
Dmitriy Bolotov (2017). neighbr: Classification, Regression, Clustering with K Nearest Neighbors. R package version 1.0.3, https://cran.r-project.org/web/packages/neighbr. Accessed 11 Apr. 2025.
Previous versions and publish date:
1.0.1 (2019-03-13 21:10), 1.0.2 (2019-03-16 00:20), 1.0 (2017-02-23 08:31)
Other packages that cited neighbr R package
View neighbr citation profile
Other R packages that neighbr depends, imports, suggests or enhances
Complete documentation for neighbr
Functions, R codes and Examples using the neighbr R package
Some associated functions: distance . knn . neighbr . similarity . 
Some associated R codes: distance.R . knn.R . neighbr.R . similarity.R . utility_functions.R .  Full neighbr package functions and examples
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