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KMEANS.KNN
View on CRAN: Click
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Download and install KMEANS.KNN package within the R console
Install from CRAN:
install.packages("KMEANS.KNN")
Install from Github:
library("remotes")
install_github("cran/KMEANS.KNN")
Install by package version:
library("remotes")
install_version("KMEANS.KNN", "0.1.0")
Attach the package and use:
library("KMEANS.KNN")
Maintained by
LALLOGO Lassané
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-05-17
Latest Update: 2024-05-17
Description:
Implementation of Kmeans clustering algorithm and a supervised KNN (K Nearest Neighbors) learning method. It allows users to perform unsupervised clustering and supervised classification on their datasets. Additional features include data normalization, imputation of missing values, and the choice of distance metric. The package also provides functions to determine the optimal number of clusters for Kmeans and the best k-value for KNN: knn_Function(), find_Knn_best_k(), KMEANS_FUNCTION(), and find_Kmeans_best_k().
How to cite:
LALLOGO Lassané (2024). KMEANS.KNN: KMeans and KNN Clustering Package. R package version 0.1.0, https://cran.r-project.org/web/packages/KMEANS.KNN
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