Get: Unsupervised Clustering
Performs clustering to determine optimal clusters (using Elbow, Silhouette, etc.) and groups similar observations.
Endpoint:
/eda/unsupervised_clustering
Input Parameters:
- usecaseVersion (integer, default: 1)
- outputFormat (string, optional: json, html; default: json)
-
usecaseId (string, required)
Output:
Cluster assignments, optimal cluster count, and visual plots.