Package: RSKC 2.4.2
Yumi Kondo
RSKC: Robust Sparse K-Means
This RSKC package contains a function RSKC which runs the robust sparse K-means clustering algorithm.
Authors:
RSKC_2.4.2.tar.gz
RSKC_2.4.2.tar.gz(r-4.5-noble)RSKC_2.4.2.tar.gz(r-4.4-noble)
RSKC_2.4.2.tgz(r-4.4-emscripten)RSKC_2.4.2.tgz(r-4.3-emscripten)
RSKC.pdf |RSKC.html✨
RSKC/json (API)
| # Install 'RSKC' in R: |
| install.packages('RSKC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- DBWorld - E-mails from DBWorld mailing list
- DutchUtility - Multiple Features Data Set of Robert P.W. Duin.
- bitmapLab - Optical Recognition of Handwritten Digits of Frank A, Asuncion A (2010).
- bitmapMat - Optical Recognition of Handwritten Digits of Frank A, Asuncion A (2010).
- optd - Optical Recognition of Handwritten Digits of Frank A, Asuncion A (2010).
- rawDBWorld - E-mails from DBWorld mailing list
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:d2937c0f91. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 30 2024 |
| R-4.5-linux-x86_64 | OK | Aug 30 2024 |
Exports:CERClestprint.rskcprint.summary.rskcrevisedsilRSKCRSKC.trimkmeansRSKC.trimkmeans.missingSensitivityshowbitmapshowDigitsummary.rskc
Dependencies:classflexclustlatticeMASSmodeltools
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Classification Error Rate (CER) | CER |
| An implementation of Clest with robust sparse K-means. CER is used as a similarity measure. | Clest |
| E-mails from DBWorld mailing list | DBWorld rawDBWorld |
| Multiple Features Data Set of Robert P.W. Duin. | DutchUtility showDigit |
| Optical Recognition of Handwritten Digits of Frank A, Asuncion A (2010). | bitmapLab bitmapMat optd showbitmap |
| The revised silhouette | revisedsil |
| Robust Sparse K-means | RSKC RSKC.trimkmeans RSKC.trimkmeans.missing |
| Compute the sensitivities (probability of true positive) of each cluster | Sensitivity |