RJcluster-package

RJcluster

Clustering algorithm for high dimensional data. Assuming that P feature measurements on N objects are arranged in an N<c3><97>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")'.

Rachael Shudde

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

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

RJcluster-package: RJcluster

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