View source: R/stats-kmeans-tidiers.R
tidy.kmeans | 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 across 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 = colnames(x$centers), ...)
x |
A |
col.names |
Dimension names. Defaults to the names of the variables
in x. Set to NULL to get names |
... |
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in
|
A tibble::tibble()
with columns:
cluster |
A factor describing the cluster from 1:k. |
size |
Number of points assigned to cluster. |
withinss |
The within-cluster sum of squares. |
tidy()
, stats::kmeans()
Other kmeans tidiers:
augment.kmeans()
,
glance.kmeans()
library(cluster) library(modeldata) library(dplyr) data(hpc_data) x <- hpc_data[, 2:5] fit <- pam(x, k = 4) tidy(fit) glance(fit) augment(fit, x)
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