k-means assumption diagnostics (Geron Ch 8, morie.fn hmkmlim)

Usage

morie_geron_kmeans_limits(X, n_clusters = 2, seed = 0)

Arguments

X: Data.
n_clusters: Clusters.
seed: Seed for k-means.

Value

List with anisotropy, max_anisotropy, reassigned_fraction, size_ratio, labels, mahalanobis_labels, estimate, n, method.

Examples

V <- c(1, 2, 3, 4, 5, 6, 7, 8)
morie_geron_kmeans_limits(V)
#> $anisotropy
#> [1] 1 1
#> 
#> $max_anisotropy
#> [1] 1
#> 
#> $mean_anisotropy
#> [1] 1
#> 
#> $reassigned_fraction
#> [1] 0
#> 
#> $size_ratio
#> [1] 1
#> 
#> $labels
#> [1] 0 0 0 0 1 1 1 1
#> 
#> $mahalanobis_labels
#> [1] 0 0 0 0 1 1 1 1
#> 
#> $counts
#> [1] 4 4
#> 
#> $estimate
#> [1] 0
#> 
#> $n
#> [1] 8
#> 
#> $method
#> [1] "k-means assumption diagnostics"
#>