cvtree function

Extracts variable cluster IDs

Extracts cluster IDs for variables according to a dendrogram from object of class cvtree.

cvtree(object, k = 2, mincor = NULL, ...)

Arguments

• object: Object of class corclust.
• k: Number of clusters to be extracted from dendrogram.
• mincor: Minimum within cluster correlation. Can be specified alternatively to k.
• ...: Currently not used.

Details

Like in corclust for correlation comparison numerics and factors are considered separately. For factors Cramer's V statistic is used.

Returns

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.

References

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.

Author(s)

Gero Szepannek

See Also

See also corclust, plot.corclust and hclust for details on the clustering algorithm.

Examples

data(B3)
    ccres <- corclust(B3)
    plot(ccres)
    cvtree(ccres, k = 3)