calc_wss: Calculate Within-Cluster Sum of Squares for Different k
In tidylearn: A Unified Tidy Interface to R's Machine Learning Ecosystem
View source: R/unsupervised-clustering.R
calc_wss R Documentation
Calculate Within-Cluster Sum of Squares for Different k
Description
Used for elbow method to determine optimal k
Usage
calc_wss(data, max_k = 10, nstart = 25)
Arguments
data
A data frame or tibble
max_k
Maximum number of clusters to test (default: 10)
nstart
Number of random starts for each k (default: 25)
Value
A tibble with k and corresponding total within-cluster SS
tidylearn documentation built on Feb. 6, 2026, 5:07 p.m.
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View source: R/unsupervised-clustering.R
| calc_wss | R Documentation |
Calculate Within-Cluster Sum of Squares for Different k
Description
Used for elbow method to determine optimal k
Usage
calc_wss(data, max_k = 10, nstart = 25)
Arguments
data |
A data frame or tibble |
max_k |
Maximum number of clusters to test (default: 10) |
nstart |
Number of random starts for each k (default: 25) |
Value
A tibble with k and corresponding total within-cluster SS
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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