Package: drclust 0.1

Ionel Prunila

drclust: Simultaneous Clustering and (or) Dimensionality Reduction

Methods for simultaneous clustering and dimensionality reduction such as: Double k-means, Reduced k-means, Factorial k-means, Clustering with Disjoint PCA but also methods for exclusively dimensionality reduction: Disjoint PCA, Disjoint FA. The statistical methods implemented refer to the following articles: de Soete G., Carroll J. (1994) "K-means clustering in a low-dimensional Euclidean space" <doi:10.1007/978-3-642-51175-2_24> ; Vichi M. (2001) "Double k-means Clustering for Simultaneous Classification of Objects and Variables" <doi:10.1007/978-3-642-59471-7_6> ; Vichi M., Kiers H.A.L. (2001) "Factorial k-means analysis for two-way data" <doi:10.1016/S0167-9473(00)00064-5> ; Vichi M., Saporta G. (2009) "Clustering and disjoint principal component analysis" <doi:10.1016/j.csda.2008.05.028> ; Vichi M. (2017) "Disjoint factor analysis with cross-loadings" <doi:10.1007/s11634-016-0263-9>.

Authors:Ionel Prunila [aut, cre], Maurizio Vichi [aut]

drclust_0.1.tar.gz
drclust_0.1.tar.gz(r-4.5-noble)drclust_0.1.tar.gz(r-4.4-noble)
drclust_0.1.tgz(r-4.4-emscripten)drclust_0.1.tgz(r-4.3-emscripten)
drclust.pdf |drclust.html
drclust/json (API)

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

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 124 downloads 15 exports 123 dependencies

Last updated 8 months agofrom:aa3fb7f9f4. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-linux-x86_64OKOct 31 2024

Exports:apseudoFcentreeclusterCronbachAlphadisfadispcadoublekmdpcakmdpseudoFfactkmheatmkaiserCritmrandredkmsilhouette

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDataclasscliclustercolorspacecorrplotcowplotcpp11crosstalkdendextendDEoptimRDerivdigestdiptestdoBydplyrDTellipseemmeansestimabilityevaluatefactoextraFactoMineRfansifarverfastmapflashClustflexmixfontawesomeFormulafpcfsgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonlitekernlabknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmclustmemoisemgcvmicrobenchmarkmimeminqamodelrmodeltoolsmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpheatmappillarpkgconfigplyrpolynomprabcluspromisespurrrquantregR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenreshape2rlangrmarkdownrobustbaserstatixsassscalesscatterplot3dSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunyaml