Package: RJcluster 3.2.4

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

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")'.

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

RJcluster_3.2.4.tar.gz
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RJcluster.pdf |RJcluster.html✨
RJcluster/json (API)

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3 exports 0.00 score 41 dependencies 5 scripts 329 downloads

Last updated 3 years agofrom:61d1046580. Checks:OK: 1 WARNING: 8. Indexed: yes.

Exports:Mutual_InformationRJclustsimulate_HD_data

Dependencies:base64encbslibcachemclicodetoolsdigestevaluatefastmapfontawesomeforeachfsgluehighrhtmltoolshtmlwidgetsinfotheoiteratorsjquerylibjsonliteknitrlifecyclemagrittrmatrixStatsmclustmemoisemimeprofvispurrrR6rappdirsRcppRcppArmadillorlangrmarkdownsassstringistringrtinytexvctrsxfunyaml