Package: simuclustfactor 0.0.3

Prosper Ablordeppey

simuclustfactor: Simultaneous Clustering and Factorial Decomposition of Three-Way Datasets

Implements two iterative techniques called T3Clus and 3Fkmeans, aimed at simultaneously clustering objects and a factorial dimensionality reduction of variables and occasions on three-mode datasets developed by Vichi et al. (2007) <doi:10.1007/s00357-007-0006-x>. Also, we provide a convex combination of these two simultaneous procedures called CT3Clus and based on a hyperparameter alpha (alpha in [0,1], with 3FKMeans for alpha=0 and T3Clus for alpha= 1) also developed by Vichi et al. (2007) <doi:10.1007/s00357-007-0006-x>. Furthermore, we implemented the traditional tandem procedures of T3Clus (TWCFTA) and 3FKMeans (TWFCTA) for sequential clustering-factorial decomposition (TWCFTA), and vice-versa (TWFCTA) proposed by P. Arabie and L. Hubert (1996) <doi:10.1007/978-3-642-79999-0_1>.

Authors:Prosper Ablordeppey [aut, cre], Adelaide Freitas [ctb], Giorgia Zaccaria [ctb]

simuclustfactor_0.0.3.tar.gz
simuclustfactor_0.0.3.tar.gz(r-4.5-noble)simuclustfactor_0.0.3.tar.gz(r-4.4-noble)
simuclustfactor_0.0.3.tgz(r-4.4-emscripten)simuclustfactor_0.0.3.tgz(r-4.3-emscripten)
simuclustfactor.pdf |simuclustfactor.html
simuclustfactor/json (API)
NEWS

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

Peer review:

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

1.70 score 12 scripts 135 downloads 14 exports 2 dependencies

Last updated 2 years agofrom:90f0b9e9bf. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 12 2024
R-4.5-linuxOKDec 12 2024

Exports:fit.3fkmeansfit.ct3clusfit.t3clusfit.twcftafit.twfctafoldgenerate_datasetgenerate_rmfmonekmeanspseudof.fullpseudof.reducedsimultaneoustandemunfold

Dependencies:rbibutilsRdpack

Readme and manuals

Help Manual

Help pageTopics
Simultaneous results attributesattributes.simultaneous-class
Tandem results attributesattributes.tandem-class
3FKMeans Modelfit.3fkmeans fit.3fkmeans,simultaneous-method
CT3Clus Modelfit.ct3clus fit.ct3clus,simultaneous-method
T3Clus Modelfit.t3clus fit.t3clus,simultaneous-method
TWCFTA modelfit.twcfta fit.twcfta,tandem-method
TWFCTA modelfit.twfcta fit.twfcta,tandem-method
Folding Matrix to Tensor by Mode.fold
Three-Mode Dataset Generator for Simulationsgenerate_dataset
Random Membership Function Matrix Generatorgenerate_rmfm
One-run of the K-means clustering techniqueonekmeans
PseudoF Score in the Full-Spacepseudof.full
PseudoF Score in the Reduced-Spacepseudof.reduced
Simultaneous Model Constructorsimultaneous
Simultaneous Modelsimultaneous-class
Initializes an instance of the tandem model required by the tandem methods.tandem
Tandem Classtandem-class
Tensor Matricizationunfold