Package: clustrd 1.4.0
clustrd: Methods for Joint Dimension Reduction and Clustering
A class of methods that combine dimension reduction and clustering of continuous, categorical or mixed-type data (Markos, Iodice D'Enza and van de Velden 2019; <doi:10.18637/jss.v091.i10>). For continuous data, the package contains implementations of factorial K-means (Vichi and Kiers 2001; <doi:10.1016/S0167-9473(00)00064-5>) and reduced K-means (De Soete and Carroll 1994; <doi:10.1007/978-3-642-51175-2_24>); both methods that combine principal component analysis with K-means clustering. For categorical data, the package provides MCA K-means (Hwang, Dillon and Takane 2006; <doi:10.1007/s11336-004-1173-x>), i-FCB (Iodice D'Enza and Palumbo 2013, <doi:10.1007/s00180-012-0329-x>) and Cluster Correspondence Analysis (van de Velden, Iodice D'Enza and Palumbo 2017; <doi:10.1007/s11336-016-9514-0>), which combine multiple correspondence analysis with K-means. For mixed-type data, it provides mixed Reduced K-means and mixed Factorial K-means (van de Velden, Iodice D'Enza and Markos 2019; <doi:10.1002/wics.1456>), which combine PCA for mixed-type data with K-means.
Authors:
clustrd_1.4.0.tar.gz
clustrd_1.4.0.zip(r-4.5)clustrd_1.4.0.zip(r-4.4)clustrd_1.4.0.zip(r-4.3)
clustrd_1.4.0.tgz(r-4.4-any)clustrd_1.4.0.tgz(r-4.3-any)
clustrd_1.4.0.tar.gz(r-4.5-noble)clustrd_1.4.0.tar.gz(r-4.4-noble)
clustrd_1.4.0.tgz(r-4.4-emscripten)clustrd_1.4.0.tgz(r-4.3-emscripten)
clustrd.pdf |clustrd.html✨
clustrd/json (API)
# Install 'clustrd' in R: |
install.packages('clustrd', repos = c('https://amarkos.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:fa68e5aa78. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 29 2024 |
R-4.5-win | NOTE | Oct 29 2024 |
R-4.5-linux | NOTE | Oct 29 2024 |
R-4.4-win | NOTE | Oct 29 2024 |
R-4.4-mac | NOTE | Oct 29 2024 |
R-4.3-win | OK | Oct 29 2024 |
R-4.3-mac | OK | Oct 29 2024 |
Exports:clusmcacluspcacluspcamixglobal_bootcluslocal_bootclustuneclus
Dependencies:caclasscliclustercolorspacecorpcorcpp11crayonDEoptimRdiptestdplyrfansifarverflexmixforcatsfpcgenericsGGallyggplot2ggrepelggstatsgluegtablehmsisobandkernlablabelinglatticelifecyclemagrittrMASSMatrixmclustmgcvmodeltoolsmunsellnlmennetpatchworkpillarpkgconfigplyrprabclusprettyunitsprogresspurrrR6rARPACKRColorBrewerRcppRcppEigenrlangrobustbaseRSpectrascalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr