Combination of Factorial Methods and Cluster Analysis

Some functions of 'ade4' and 'stats' are combined in order to obtain a partition of the rows of a data table, with columns representing variables of scales: quantitative, qualitative or frequency. First, a principal axes method is performed and then, a combination of Ward agglomerative hierarchical classification and K-means is performed, using some of the first coordinates obtained from the previous principal axes method. See, for example: Lebart, L. and Piron, M. and Morineau, A. (2006). Statistique Exploratoire Multidimensionnelle, Dunod, Paris. In order to permit to have different weights of the elements to be clustered, the function 'kmeansW', programmed in C++, is included. It is a modification of 'kmeans'. Some graphical functions include the option: 'gg=FALSE'. When 'gg=TRUE', they use the 'ggplot2' and 'ggrepel' packages to avoid the super-position of the labels.


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install.packages("FactoClass")

1.2.7 by Campo Elias Pardo, 8 months ago


Browse source code at https://github.com/cran/FactoClass


Authors: Campo Elias Pardo <[email protected]> , Pedro Cesar del Campo <[email protected]> and Camilo Jose Torres <[email protected]> , with the contributions from. Ivan Diaz <[email protected]> , Mauricio Sadinle <[email protected]> , Jhonathan Medina <[email protected]>.


Documentation:   PDF Manual  


Task views: Cluster Analysis & Finite Mixture Models


GPL (>= 2) license


Imports KernSmooth

Depends on ade4, ggplot2, ggrepel, xtable, scatterplot3d


Imported by fastLink.

Depended on by pamctdp, qha.

Suggested by kselection.


See at CRAN