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. The function 'kmeansW', a modification of 'kmeans', programmed in C++, is included, in order to permit to have different weights of the elements to be clustered. Some complementary functions and datasets are included. See, for example: Lebart, L. and Piron, M. and Morineau, A. (2006). Statitique exploratoire multidimensionnelle, Dunod, Paris.


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install.packages("FactoClass")

1.1.6 by Campo Elias Pardo, 2 months ago


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


Authors: Campo Elias Pardo <cepardot@unal.edu.co>, Pedro Cesar del Campo <pcdelcampon@unal.edu.co> and Camilo Jose Torres <cjtorresj@unal.edu.co>, with the contributions from. Ivan Diaz <ildiazm@unal.edu.co>, Mauricio Sadinle <msadinleg@unal.edu.co>.


Documentation:   PDF Manual  


Task views: Cluster Analysis & Finite Mixture Models


GPL (>= 2) license


Depends on ade4, xtable, scatterplot3d, KernSmooth


Imported by fastLink.

Depended on by pamctdp, qha.

Suggested by kselection.


See at CRAN