diff --git a/jsons/parameters.json b/jsons/parameters.json
index 7d164fc..1f975b4 100644
--- a/jsons/parameters.json
+++ b/jsons/parameters.json
@@ -2994,6 +2994,38 @@
         },
         "value_type": "bool"
     },
+    {
+        "default_value": "euclidean",
+        "description": "distance metric",
+        "key_translations": {
+            "align_files_dbscan_style_1": "metric",
+            "align_scans_dbscan_style_1": "metric",
+            "umap_style_1": "metric",
+            "ursgal_style_1": "cluster_distance_metric"
+        },
+        "name": "cluster_distance_metric",
+        "tag": [],
+        "triggers_rerun": true,
+        "value_translations": {},
+        "value_type": "str"
+    },
+    {
+        "default_value": 0.1,
+        "description": "minimum distance to neighbour",
+        "key_translations": {
+            "align_files_dbscan_style_1": "eps",
+            "align_scans_dbscan_style_1": "eps",
+            "umap_style_1": "min_distance",
+            "ursgal_style_1": "cluster_min_distance"
+        },
+        "name": "cluster_min_distance",
+        "tag": [
+            "cluster"
+        ],
+        "triggers_rerun": true,
+        "value_translations": {},
+        "value_type": "int"
+    },
     {
         "default_value": 2,
         "description": "number of components to use for embedding",
@@ -4586,21 +4618,6 @@
         "value_translations": {},
         "value_type": "dict"
     },
-    {
-        "default_value": "euclidean",
-        "description": "distance metric",
-        "key_translations": {
-            "align_files_dbscan_style_1": "metric",
-            "align_scans_dbscan_style_1": "metric",
-            "umap_style_1": "linkage",
-            "ursgal_style_1": "distance_metric"
-        },
-        "name": "distance_metric",
-        "tag": [],
-        "triggers_rerun": true,
-        "value_translations": {},
-        "value_type": "str"
-    },
     {
         "default_value": false,
         "description": "Engine creates an own decoy database. Not recommended, because a target decoy database should be generated independently from the search engine, e.g. by using the uNode generate_target_decoy_1_0_0",
@@ -10643,23 +10660,6 @@
         "value_translations": {},
         "value_type": "int"
     },
-    {
-        "default_value": 0.1,
-        "description": "minimum distance to neighbour",
-        "key_translations": {
-            "align_files_dbscan_style_1": "eps",
-            "align_scans_dbscan_style_1": "eps",
-            "umap_style_1": "min_distance",
-            "ursgal_style_1": "min_distance"
-        },
-        "name": "min_distance",
-        "tag": [
-            "cluster"
-        ],
-        "triggers_rerun": true,
-        "value_translations": {},
-        "value_type": "int"
-    },
     {
         "default_value": 0.001,
         "description": " Set minmal abundance for elements used when building isotopologue library ",