Get: Optimal Cluster

Determines the optimal number of clusters using methods like Elbow, Silhouette, Calinski‑Harabasz, Davies‑Bouldin, and Dunn index.

Endpoint:

/eda/clustering/optimal_cluster

Input Parameters:

• usecaseVersion (integer, optional, default: 1)
• method_type (string, optional: elbow, silhouette, calinski_harabasz, davies_bouldin, dunn_index)
• lower_limit (integer, optional, default: 1)
• upper_limit (integer, optional, default: 10)

• usecaseId (string, required)

  Output:

  JSON with optimal cluster count recommendations and evaluation scores for each method.