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.
In order to permit 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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