Extracts variable cluster IDs
Extracts cluster IDs for variables according to a dendrogram from object of class cvtree.
cvtree(object, k = 2, mincor = NULL, ...)
object |
Object of class |
k |
Number of clusters to be extracted from dendrogram. |
mincor |
Minimum within cluster correlation. Can be specified alternatively to |
... |
Currently not used. |
Like in corclust for correlation comparison numerics and factors are considered separately.
For factors Cramer's V statistic is used.
Object of class cvtree with elements:
cluster |
Vector of cluster IDs. |
correlations |
Matrix of average within cluster correlations and average corrleation to all variables of the closest cluster as well as the ID of the closest cluster. For factor variables Cramer's V is computed. |
Gero Szepannek
Roever, C. and Szepannek, G. (2005): Application of a genetic algorithm to variable selection in fuzzy clustering. In C. Weihs and W. Gaul (eds), Classification - The Ubiquitous Challenge, 674-681, Springer.
See also corclust, plot.corclust and hclust for details on the clustering algorithm.
data(B3)
ccres <- corclust(B3)
plot(ccres)
cvtree(ccres, k = 3)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.