Update funcs/som.py

funcs/som.py

@@ -30,7 +30,7 @@ class ClusterSOM:
         if len(model_data) > 5:
             self.label_centroids, self.label_encodings = model_data[5:]
     
-    def predict(self, data, sigma_factor=1.5):
+    def predict(self, data, sigma_factor=2.5):
         """
         Predict the cluster and BMU SOM coordinate for each sample in the data if it's inside the sigma value.
         Also, predict the label and distance to the center of the label if labels are trained.