RJcluster-package: A Fast Clustering Algorithm for High Dimensional Data Based...

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

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

Description

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")'.

Details

Package:	RJcluster
Type:	Package
Version:	3.2.4
Date:	07-15-2021
License:	GPL>=2

Author(s)

Shahina Rahman [aut], Valen E. Johnson [aut], Suhasini Subba Rao [aut], Rachael Shudde [aut, cre, trl]

Maintainer: Rachael Shudde <[e-mail]>

RJcluster documentation built on March 18, 2022, 5:08 p.m.