Provide Elbow K

app.py

@@ -709,6 +709,7 @@ def compute_global_regression(df_combined, embedding_cols, tsne_params, df_f1, r
         "silhouette": silhouette,
         "inertias": inertias,
         "silhouette_opt": silhouette_opt,
+        "elbow_k": elbow_k
     }
     
     if reduction_method == "PCA":
@@ -868,6 +869,7 @@ def run_model(model_name):
         st.bokeh_chart(p, use_container_width=True)
 
     st.write(f"Silhouette Score: {result['silhouette_opt']:.2f}")
+    st.write(f"Optimal number of clusters (k) from Elbow Method: {result['elbow_k']:.2f}")
 
     # # Mostrar los plots de loadings si se usó PCA (para el conjunto combinado)
     # if reduction_method == "PCA" and result.get("pca_model") is not None: