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RJcluster
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.RJcluster . RJcluster results . RJcluster.pdf . RJcluster_3.2.4.tar.gz . RJcluster_3.2.4.zip . RJcluster_3.2.4.zip . RJcluster_3.2.4.zip . RJcluster_3.2.4.tgz . RJcluster_3.2.4.tgz . RJcluster_3.2.4.tgz . RJcluster_3.2.4.tgz . RJcluster_3.2.4.tgz . RJcluster_3.2.4.tgz . RJcluster archive . https://CRAN.R-project.org/package=RJcluster .
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 26 Mar. 2025.
Previous versions and publish date:
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Other R packages that RJcluster depends,
imports, suggests or enhances
Complete documentation for RJcluster
Functions, R codes and Examples using
the RJcluster R package
Some associated functions: Mutual_Information . RJclust . RJcluster-package . simulate_HD_data .
Some associated R codes: AlgorithmImplementation.R . DATA_generate_test_data.R . FUNC_AMI_calculations.R . FUNC_Gcov.R . FUNC_RJ_calls.R . FUNC_RJ_calls_scale.R . FUNC_RJmean.R . FUNC_bic_RJclust.R . RcppExports.R . WrapperFunctions.R . old_RJmean.R . zzz.R . Full RJcluster package functions and examples
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