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")'.
- Version3.2.4
- R version≥ 2.10
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release02/14/2022
Documentation
Team
Rachael Shudde
Shahina Rahman
Show author detailsRolesAuthorValen E. Johnson
Show author detailsRolesAuthorSuhasini Subba Rao
Show author detailsRolesAuthor
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- Depends1 package
- Imports10 packages
- Suggests3 packages
- Linking To2 packages