> ## Documentation Index
> Fetch the complete documentation index at: https://shapely.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.
# K-Finder
> K-Finder automatically determines the optimal number of clusters (K) for your data using methods like the Elbow Method and Silhouette Analysis. It tests different K values and recommends the best one.
This removes the guesswork from choosing K for algorithms like K-Means and Gaussian Mixture.
Always run K-Finder **before** using K-Means, Gaussian Mixture, or Spectral Clustering. The suggested K value is a recommendation you may want to try nearby values (K±1) and compare results using the **Cluster Quality** node.
