tidy_gap_stat: Tidy Gap Statistic
In tidylearn: A Unified Tidy Interface to R's Machine Learning Ecosystem
View source: R/unsupervised-validation.R
tidy_gap_stat R Documentation
Tidy Gap Statistic
Description
Compute gap statistic for determining optimal number of clusters
Usage
tidy_gap_stat(data, FUN_cluster = NULL, max_k = 10, B = 50, nstart = 25)
Arguments
data
A data frame or tibble
FUN_cluster
Clustering function (default: uses kmeans internally)
max_k
Maximum number of clusters (default: 10)
B
Number of bootstrap samples (default: 50)
nstart
If using kmeans, number of random starts (default: 25)
Value
A list of class "tidy_gap" containing gap statistics
tidylearn documentation built on Feb. 6, 2026, 5:07 p.m.
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View source: R/unsupervised-validation.R
| tidy_gap_stat | R Documentation |
Tidy Gap Statistic
Description
Compute gap statistic for determining optimal number of clusters
Usage
tidy_gap_stat(data, FUN_cluster = NULL, max_k = 10, B = 50, nstart = 25)
Arguments
data |
A data frame or tibble |
FUN_cluster |
Clustering function (default: uses kmeans internally) |
max_k |
Maximum number of clusters (default: 10) |
B |
Number of bootstrap samples (default: 50) |
nstart |
If using kmeans, number of random starts (default: 25) |
Value
A list of class "tidy_gap" containing gap statistics
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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