Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies cross models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.
# S3 method for kmeans tidy(x, col.names = paste0("x", 1:ncol(x$centers)), ...)
Dimension names. Defaults to
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
For examples, see the kmeans vignette.
tibble::tibble() with columns:
A factor describing the cluster from 1:k
Number of points assigned to cluster.
The within-cluster sum of squares