Computes linear discriminant analysis on classified cluster groups, and determines the goodness of classification for each cluster group.

cluster_discrimination(x, cluster_groups = NULL)

Arguments

x

A data frame

cluster_groups

Group classification of the cluster analysis, which can be retrieved from the cluster_analysis() function.

See also

n_clusters() to determine the number of clusters to extract, cluster_analysis() to compute a cluster analysis and check_clusterstructure() to check suitability of data for clustering.

Examples

if (FALSE) {
# retrieve group classification from hierarchical cluster analysis
groups <- cluster_analysis(iris[, 1:4])

# goodness of group classificatoin
cluster_discrimination(iris[, 1:4], cluster_groups = groups)
}