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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>.
| Version: |
0.0.3 |
| Depends: |
R (≥ 2.10) |
| Imports: |
methods, stats, Rdpack |
| Suggests: |
testthat (≥ 3.0.0) |
| Published: |
2022-10-18 |
| Author: |
Prosper Ablordeppey
 [aut, cre],
Adelaide Freitas
[ctb],
Giorgia Zaccaria
[ctb] |
| Maintainer: |
Prosper Ablordeppey <pablordeppey at ua.pt> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| Materials: |
README NEWS |
| CRAN checks: |
simuclustfactor results |
Documentation:
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