Package: fusionclust 1.0.0
fusionclust: Clustering and Feature Screening using L1 Fusion Penalty
Provides the Big Merge Tracker and COSCI algorithms for convex clustering and feature screening using L1 fusion penalty.
Authors:
fusionclust_1.0.0.tar.gz
fusionclust_1.0.0.zip(r-4.5)fusionclust_1.0.0.zip(r-4.4)fusionclust_1.0.0.zip(r-4.3)
fusionclust_1.0.0.tgz(r-4.4-any)fusionclust_1.0.0.tgz(r-4.3-any)
fusionclust_1.0.0.tar.gz(r-4.5-noble)fusionclust_1.0.0.tar.gz(r-4.4-noble)
fusionclust_1.0.0.tgz(r-4.4-emscripten)fusionclust_1.0.0.tgz(r-4.3-emscripten)
fusionclust.pdf |fusionclust.html✨
fusionclust/json (API)
NEWS
# Install 'fusionclust' in R: |
install.packages('fusionclust', repos = c('https://trambakbanerjee.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/trambakbanerjee/fusionclust/issues
Last updated 3 years agofrom:8b6d438ece. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 09 2024 |
R-4.5-win | NOTE | Nov 09 2024 |
R-4.5-linux | NOTE | Nov 09 2024 |
R-4.4-win | NOTE | Nov 09 2024 |
R-4.4-mac | NOTE | Nov 09 2024 |
R-4.3-win | NOTE | Nov 09 2024 |
R-4.3-mac | NOTE | Nov 09 2024 |
Exports:bmtcosci_iscosci_is_selectnclust
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Big Merge Tracker | bmt |
Rank the p features in an n by p design matrix | cosci_is |
Use a data driven approach to select the features | cosci_is_select |
No.of clusters | nclust |