FactoClass
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.
- Version1.2.8
- R version≥ 2.10
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- Last release09/14/2023
Documentation
Team
Campo Elias Pardo
Pedro Cesar del Campo
Camilo Jose Torres
with the contributions from. Ivan Diaz
Mauricio Sadinle
Jhonathan Medina.
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Dependencies
- Depends6 packages
- Imports1 package
- Reverse Depends1 package
- Reverse Imports1 package
- Reverse Suggests1 package