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). Statistique Exploratoire Multidimensionnelle, Dunod, Paris.


Reference manual

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1.2.4 by Campo Elias Pardo, 5 months ago

Browse source code at

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