find_best_k_for_kmeans {MapperAlgo} | R Documentation |
Find the optimal number of clusters for k-means
Description
This function calculates the total within-cluster sum of squares (WSS) for a range of cluster numbers and identifies the best number of clusters (k) based on the elbow method.
Usage
find_best_k_for_kmeans(dist_object, max_clusters = 10)
Arguments
dist_object |
A distance matrix or data frame containing the data to be clustered. |
max_clusters |
The maximum number of clusters to test for k-means. Default is 10. |
Value
The optimal number of clusters (k) based on the elbow method.
[Package MapperAlgo version 1.0.2 Index]