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:
RJcluster_3.2.4.tar.gz
RJcluster_3.2.4.zip(r-4.5)RJcluster_3.2.4.zip(r-4.4)RJcluster_3.2.4.zip(r-4.3)
RJcluster_3.2.4.tgz(r-4.4-x86_64)RJcluster_3.2.4.tgz(r-4.4-arm64)RJcluster_3.2.4.tgz(r-4.3-x86_64)RJcluster_3.2.4.tgz(r-4.3-arm64)
RJcluster_3.2.4.tar.gz(r-4.5-noble)RJcluster_3.2.4.tar.gz(r-4.4-noble)
RJcluster_3.2.4.tgz(r-4.4-emscripten)RJcluster_3.2.4.tgz(r-4.3-emscripten)
RJcluster.pdf |RJcluster.html✨
RJcluster/json (API)
# Install 'RJcluster' in R: |
install.packages('RJcluster', repos = c('https://rshudde.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:61d1046580. Checks:OK: 1 WARNING: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win-x86_64 | WARNING | Oct 31 2024 |
R-4.5-linux-x86_64 | WARNING | Oct 31 2024 |
R-4.4-win-x86_64 | WARNING | Oct 31 2024 |
R-4.4-mac-x86_64 | WARNING | Oct 31 2024 |
R-4.4-mac-aarch64 | WARNING | Oct 31 2024 |
R-4.3-win-x86_64 | WARNING | Oct 31 2024 |
R-4.3-mac-x86_64 | WARNING | Oct 31 2024 |
R-4.3-mac-aarch64 | WARNING | Oct 31 2024 |
Exports:Mutual_InformationRJclustsimulate_HD_data
Dependencies:base64encbslibcachemclicodetoolsdigestevaluatefastmapfontawesomeforeachfsgluehighrhtmltoolshtmlwidgetsinfotheoiteratorsjquerylibjsonliteknitrlifecyclematrixStatsmclustmemoisemimeprofvisR6rappdirsRcppRcppArmadillorlangrmarkdownsasstinytexvctrsxfunyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
A Fast Clustering Algorithm for High Dimensional Data Based on the Gram Matrix Decomposition | RJcluster-package RJcluster |
Mutual_Information | Mutual_Information |
RJclust | RJclust |
simulate_HD_data | simulate_HD_data |