tidy.kmeans {broom} | R Documentation |
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 class 'kmeans' tidy(x, col.names = paste0("x", 1:ncol(x$centers)), ...)
x |
A |
col.names |
Dimension names. Defaults to |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
For examples, see the kmeans vignette.
A tibble::tibble with one row per cluster, and columns:
size |
Number of points in cluster |
withinss |
The within-cluster sum of squares |
cluster |
A factor describing the cluster from 1:k |
Other kmeans tidiers: augment.kmeans
,
glance.kmeans