CRAN/E | RJcluster

RJcluster

A Fast Clustering Algorithm for High Dimensional Data Based on the Gram Matrix Decomposition

Installation

About

Clustering algorithm for high dimensional data. Assuming that P feature measurements on N objects are arranged in an N×P matrix X, this package provides clustering based on the left Gram matrix XX^T. To simulate test data, type "help('simulate_HD_data')" and to learn how to use the clustering algorithm, type "help('RJclust')". To cite this package, type 'citation("RJcluster")'.

Key Metrics

Version 3.2.4
R ≥ 2.10
Published 2022-02-14 809 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks RJcluster results

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Maintainer

Maintainer

Rachael Shudde

rachael.shudde@gmail.com

Authors

Shahina Rahman

aut

Valen E. Johnson

aut

Suhasini Subba Rao

aut

Rachael Shudde

aut / cre / trl

Material

README
Reference manual
Package source

Vignettes

RJclust_Vignette

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

RJcluster archive

Depends

R ≥ 2.10

Imports

Rcpp ≥ 1.0.2
matrixStats
infotheo
rlang
stats
graphics
profvis
mclust
foreach
utils

Suggests

testthat ≥ 2.1.0
knitr
rmarkdown

LinkingTo

Rcpp
RcppArmadillo