Formatted cluster summary table

Produces a styled gt table showing cluster sizes and mean feature values. Supports kmeans, pam, clara, dbscan, and hclust models.

Usage

tl_table_clusters(model, k = 3, digits = 2, ...)

Arguments

model

A tidylearn clustering model object

k

For hclust models, the number of clusters to cut (default: 3)

digits

Number of decimal places (default: 2)

...

Additional arguments (currently unused)

Value

A gt table object.

Examples

# \donttest{
model <- tl_model(iris[, 1:4], method = "kmeans", k = 3)
tl_table_clusters(model)


  
Cluster Summary
    
kmeans | 3 clusters
    
Cluster
      
Size
      
Sepal.Length
      
Sepal.Width
      
Petal.Length
      
Petal.Width
    
1
50
5.01
3.43
1.46
0.25
2
62
5.90
2.75
4.39
1.43
3
38
6.85
3.07
5.74
2.07
tidylearn | kmeans | n = 150
    
# }