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RJcluster  

A Fast Clustering Algorithm for High Dimensional Data Based on the Gram Matrix Decomposition
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("RJcluster", "3.2.4")



Attach the package and use:
library("RJcluster")
Maintained by
Rachael Shudde
[Scholar Profile | Author Map]
First Published: 2020-09-23
Latest Update: 2022-02-14
Description:
Clustering algorithm for high dimensional data. Assuming that P feature measurements on N objects are arranged in an N
How to cite:
Rachael Shudde (2020). RJcluster: A Fast Clustering Algorithm for High Dimensional Data Based on the Gram Matrix Decomposition. R package version 3.2.4, https://cran.r-project.org/web/packages/RJcluster. Accessed 16 Apr. 2025.
Previous versions and publish date:
0.1.0 (2020-09-23 10:00), 0.1.1 (2021-03-01 21:20), 0.1.2 (2021-03-10 23:00), 2.5.0 (2021-04-06 23:00), 3.0.0 (2021-07-07 23:10), 3.0.1 (2021-07-15 17:40), 3.1.0 (2021-07-22 00:10), 3.1.1 (2021-08-19 22:10), 3.2.1 (2021-09-02 19:10), 3.2.2 (2021-09-03 23:30), 3.2.3 (2022-02-07 22:00)
Other packages that cited RJcluster R package
View RJcluster citation profile
Other R packages that RJcluster depends, imports, suggests or enhances
Complete documentation for RJcluster
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