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-4.7-arm64)RSKC_2.4.2.tar.gz(r-4.7-x86_64)RSKC_2.4.2.tar.gz(r-4.6-arm64)RSKC_2.4.2.tar.gz(r-4.6-x86_64)
RSKC_2.4.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
RSKC/json (API)
| # Install 'RSKC' in R: |
| install.packages('RSKC', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- bitmapLab - Optical Recognition of Handwritten Digits of Frank A, Asuncion A (2010).
- bitmapMat - Optical Recognition of Handwritten Digits of Frank A, Asuncion A (2010).
- DBWorld - E-mails from DBWorld mailing list
- DutchUtility - Multiple Features Data Set of Robert P.W. Duin.
- 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 from:d2937c0f91. Checks:6 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 124 | ||
| linux-devel-x86_64 | OK | 114 | ||
| source / vignettes | OK | 167 | ||
| linux-release-arm64 | OK | 120 | ||
| linux-release-x86_64 | OK | 114 | ||
| wasm-release | OK | 97 |
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 |