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:Juan Domingo Gonzalez [cre, aut], Victor J. Yohai [aut], Ruben H. Zamar [aut], Douglas Alberto Carmona Guanipa [aut]

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ktaucenters.pdf |ktaucenters.html
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NEWS

# Install 'ktaucenters' in R:
install.packages('ktaucenters', repos = c('https://jdgonzalezwork.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/jdgonzalezwork/ktaucenters/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • mars_screw - Intensity and saturation values of a picture from mars.

On CRAN:

cpp

3.18 score 1 packages 5 scripts 178 downloads 9 exports 45 dependencies

Last updated 1 years agofrom:e275af4830. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKJan 15 2025
R-4.5-win-x86_64OKJan 15 2025
R-4.5-linux-x86_64OKJan 15 2025
R-4.4-win-x86_64OKJan 15 2025
R-4.4-mac-x86_64OKJan 15 2025
R-4.4-mac-aarch64OKJan 15 2025
R-4.3-win-x86_64OKJan 15 2025
R-4.3-mac-x86_64OKJan 15 2025
R-4.3-mac-aarch64OKJan 15 2025

Exports:derpsiOptimprovedktaucentersktaucentersktaucentersfastMscalenormal_consistency_constantspsiOptrhoOptrobinden

Dependencies:cellWiseclicolorspaceDEoptimRfansifarverggplot2gluegridExtraGSEgtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvmunsellmvtnormnlmepcaPPpillarpkgconfigplyrR6RColorBrewerRcppRcppArmadilloreshape2rlangrobustbaserrcovscalesshapestringistringrsvdtibbleutf8vctrsviridisLitewithr