{ "_id": "6ac23126d743750d376d6ad0", "Package": "simuclustfactor", "Type": "Package", "Title": "Simultaneous Clustering and Factorial Decomposition of Three-Way\nDatasets", "Version": "0.0.3", "Authors@R": "c(\nperson(\"Prosper\", \"Ablordeppey\", role = c(\"aut\", \"cre\"), email = \"pablordeppey@ua.pt\",\ncomment = c(ORCID = \"0000-0002-5581-7005\")),\nperson(\"Adelaide\", \"Freitas\", role = \"ctb\", email = \"adelaide@ua.pt\",\ncomment = c(ORCID = \"0000-0002-4685-1615\")),\nperson(\"Giorgia\", \"Zaccaria\", role = \"ctb\", email = \"giorgia.zaccaria@unitelmasapienza.it\",\ncomment = c(ORCID = \"0000-0001-9119-9104\")))", "Maintainer": "Prosper Ablordeppey ", "Description": "Implements two iterative techniques called T3Clus and\n3Fkmeans, aimed at simultaneously clustering objects and a\nfactorial dimensionality reduction of variables and occasions\non three-mode datasets developed by Vichi et al. (2007)\n. Also, we provide a convex\ncombination of these two simultaneous procedures called CT3Clus\nand based on a hyperparameter alpha (alpha in [0,1], with\n3FKMeans for alpha=0 and T3Clus for alpha= 1) also developed by\nVichi et al. (2007) .\nFurthermore, we implemented the traditional tandem procedures\nof T3Clus (TWCFTA) and 3FKMeans (TWFCTA) for sequential\nclustering-factorial decomposition (TWCFTA), and vice-versa\n(TWFCTA) proposed by P. Arabie and L. 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