Summary method for kclus

Summary method for kclus

# S3 method for kclus
summary(object, dec = 2, ...)

Arguments

object	Return value from kclus
dec	Number of decimals to show
...	further arguments passed to or from other methods

Details

See https://radiant-rstats.github.io/docs/multivariate/kclus.html for an example in Radiant

See also

kclus to generate results

plot.kclus to plot results

store.kclus to add cluster membership to the selected dataset

Examples

result <- kclus(shopping, vars = "v1:v6", nr_clus = 3)
summary(result)
#> K-means cluster analysis
#> Data         : shopping 
#> Variables    : v1, v2, v3, v4, v5, v6 
#> Clustering by: K-means
#> HC method    : ward.D 
#> HC distance  : sq.euclidian 
#> Standardize  : TRUE 
#> Observations : 20 
#> Generated    : 3 clusters of sizes 8 | 6 | 6 
#> 
#> Cluster means:
#>              v1   v2   v3   v4   v5   v6
#>  Cluster 1 5.75 3.62 6.00 3.12 1.88 3.88
#>  Cluster 2 1.67 3.00 1.83 3.50 5.50 3.33
#>  Cluster 3 3.50 5.83 3.33 6.00 3.50 6.00
#> 
#> Percentage of within cluster heterogeneity accounted for by each cluster:
#>                 
#> Cluster 1 40.31%
#> Cluster 2 25.98%
#> Cluster 3 33.71%
#> 
#> Between cluster heterogeneity accounts for 73.93% of the
#> total heterogeneity in the data (higher is better)