Introduction | A parameter free quality measure for dimensionality reduction
Package: coRanking 0.2.5
coRanking: Co-Ranking Matrix
Calculates the co-ranking matrix to assess the quality of a dimensionality reduction.
Authors:
coRanking_0.2.5.tar.gz
coRanking_0.2.5.zip(r-4.7)coRanking_0.2.5.zip(r-4.6)coRanking_0.2.5.zip(r-4.5)
coRanking_0.2.5.tgz(r-4.6-x86_64)coRanking_0.2.5.tgz(r-4.6-arm64)coRanking_0.2.5.tgz(r-4.5-x86_64)coRanking_0.2.5.tgz(r-4.5-arm64)
coRanking_0.2.5.tar.gz(r-4.7-arm64)coRanking_0.2.5.tar.gz(r-4.7-x86_64)coRanking_0.2.5.tar.gz(r-4.6-arm64)coRanking_0.2.5.tar.gz(r-4.6-x86_64)
coRanking_0.2.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
coRanking/json (API)
| # Install 'coRanking' in R: |
| install.packages('coRanking', repos = c('https://gdkrmr.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gdkrmr/coranking/issues
Pkgdown/docs site:https://coranking.guido-kraemer.com
dimensionality-reductionmanifold-learningqualitystatisticsunsupervised-learningcpp
Last updated from:4b26431de8. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 136 | ||
| linux-devel-x86_64 | OK | 123 | ||
| source / vignettes | OK | 182 | ||
| linux-release-arm64 | OK | 140 | ||
| linux-release-x86_64 | OK | 168 | ||
| macos-release-arm64 | OK | 115 | ||
| macos-release-x86_64 | OK | 199 | ||
| macos-oldrel-arm64 | OK | 94 | ||
| macos-oldrel-x86_64 | OK | 375 | ||
| windows-devel | OK | 65 | ||
| windows-release | OK | 87 | ||
| windows-oldrel | OK | 120 | ||
| wasm-release | OK | 130 |
Exports:AUC_ln_KcorankingimageplotLCMCplot_R_NXQ_NXR_NXrankmatrix
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Methods for the co-ranking matrix | coRanking-package coRanking |
| Area under the 'RN_X' curve | AUC_ln_K |
| Co-Ranking Matrix | coranking |
| Image function for the co-ranking matrix | imageplot |
| The local continuity meta-criterion | LCMC |
| Plot the R_{NX}(K) curve | plot_R_NX |
| The Q_{NX}(K) criterion | Q_NX |
| The R_{NX}(K) criterion | R_NX |
| Rank matrix | rankmatrix |
