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simuclustfactor  

Simultaneous Clustering and Factorial Decomposition of Three-Way Datasets
View on CRAN: Click here


Download and install simuclustfactor package within the R console
Install from CRAN:
install.packages("simuclustfactor")

Install from Github:
library("remotes")
install_github("cran/simuclustfactor")

Install by package version:
library("remotes")
install_version("simuclustfactor", "0.0.3")



Attach the package and use:
library("simuclustfactor")
Maintained by
Prosper Ablordeppey
[Scholar Profile | Author Map]
First Published: 2022-10-18
Latest Update: 2022-10-18
Description:
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>.
How to cite:
Prosper Ablordeppey (2022). simuclustfactor: Simultaneous Clustering and Factorial Decomposition of Three-Way Datasets. R package version 0.0.3, https://cran.r-project.org/web/packages/simuclustfactor. Accessed 29 Mar. 2025.
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