Package: ktaucenters 1.0.0
ktaucenters: Robust Clustering Procedures
A clustering algorithm similar to K-Means is implemented, it has two main advantages, namely (a) The estimator is resistant to outliers, that means that results of estimator are still correct when there are atypical values in the sample and (b) The estimator is efficient, roughly speaking, if there are no outliers in the sample, results will be similar to those obtained by a classic algorithm (K-Means). Clustering procedure is carried out by minimizing the overall robust scale so-called tau scale. (see Gonzalez, Yohai and Zamar (2019) <arxiv:1906.08198>).
Authors:
ktaucenters_1.0.0.tar.gz
ktaucenters_1.0.0.zip(r-4.7)ktaucenters_1.0.0.zip(r-4.6)ktaucenters_1.0.0.zip(r-4.5)
ktaucenters_1.0.0.tgz(r-4.6-x86_64)ktaucenters_1.0.0.tgz(r-4.6-arm64)ktaucenters_1.0.0.tgz(r-4.5-x86_64)ktaucenters_1.0.0.tgz(r-4.5-arm64)
ktaucenters_1.0.0.tar.gz(r-4.7-arm64)ktaucenters_1.0.0.tar.gz(r-4.7-x86_64)ktaucenters_1.0.0.tar.gz(r-4.6-arm64)ktaucenters_1.0.0.tar.gz(r-4.6-x86_64)
ktaucenters_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ktaucenters/json (API)
| # Install 'ktaucenters' in R: |
| install.packages('ktaucenters', repos = c('https://jdgonzalezwork.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jdgonzalezwork/ktaucenters/issues
- mars_screw - Intensity and saturation values of a picture from mars.
Last updated from:e275af4830. Checks:13 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 155 | ||
| linux-devel-x86_64 | OK | 169 | ||
| source / vignettes | OK | 189 | ||
| linux-release-arm64 | OK | 167 | ||
| linux-release-x86_64 | OK | 164 | ||
| macos-release-arm64 | OK | 201 | ||
| macos-release-x86_64 | OK | 260 | ||
| macos-oldrel-arm64 | OK | 154 | ||
| macos-oldrel-x86_64 | OK | 284 | ||
| windows-devel | OK | 138 | ||
| windows-release | OK | 148 | ||
| windows-oldrel | OK | 142 | ||
| wasm-release | OK | 141 |
Exports:derpsiOptimprovedktaucentersktaucentersktaucentersfastMscalenormal_consistency_constantspsiOptrhoOptrobinden
Dependencies:cellWiseclicpp11DEoptimRfarverggplot2gluegridExtraGSEgtableisobandlabelinglatticelifecyclemagrittrMASSmatrixStatsmvtnormpcaPPplyrR6RColorBrewerRcppRcppArmadilloreshape2rlangrobustbaserrcovS7scalesshapestringistringrsvdvctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Distance Matrix Computation | .distance |
| Flag outliers | .flag_outliers |
| Robust Clustering algorithm based on centers, a robust and efficient version of kmeans. | .ktaucenters_run |
| Second derivative of the quasi rho function | derpsiOpt |
| improvedktaucenters | improvedktaucenters |
| ktaucenters | ktaucenters |
| ktaucentersfast | ktaucentersfast |
| Intensity and saturation values of a picture from mars. | mars_screw |
| M scale | Mscale |
| Normal Consistency Constants | normal_consistency_constants |
| Derivative of the quasi optimal rho function | psiOpt |
| Quasi optimal rho function | rhoOpt |
| Robust Initialization based on Inverse Density estimator (ROBINDEN) | robinden |
