diff --git a/tsml_eval/experiments/_get_clusterer.py b/tsml_eval/experiments/_get_clusterer.py
index 60e14c03..b230735d 100644
--- a/tsml_eval/experiments/_get_clusterer.py
+++ b/tsml_eval/experiments/_get_clusterer.py
@@ -319,7 +319,6 @@ def _set_clusterer_distance_based(
                 "method": "subgradient",
             }
             return TimeSeriesKMeans(
-                max_iter=50,
                 n_init=10,
                 init=init_algorithm,
                 distance=distance,
@@ -331,7 +330,6 @@ def _set_clusterer_distance_based(
             )
         elif "ba" in c:
             return TimeSeriesKMeans(
-                max_iter=50,
                 n_init=10,
                 init=init_algorithm,
                 distance=distance,
@@ -343,7 +341,6 @@ def _set_clusterer_distance_based(
             )
         else:
             return TimeSeriesKMeans(
-                max_iter=50,
                 n_init=10,
                 init=init_algorithm,
                 distance=distance,
@@ -354,7 +351,6 @@ def _set_clusterer_distance_based(
             )
     elif "kmedoids" in c or "timeserieskmedoids" in c:
         return TimeSeriesKMedoids(
-            max_iter=50,
             n_init=10,
             init=init_algorithm,
             distance=distance,
@@ -365,7 +361,6 @@ def _set_clusterer_distance_based(
         )
     elif "pam" in c or "timeseriespam" in c:
         return TimeSeriesKMedoids(
-            max_iter=50,
             n_init=10,
             init=init_algorithm,
             distance=distance,
@@ -385,7 +380,6 @@ def _set_clusterer_distance_based(
         )
     elif "clara" in c or "timeseriesclara" in c:
         return TimeSeriesCLARA(
-            max_iter=50,
             init=init_algorithm,
             distance=distance,
             distance_params=distance_params,
@@ -410,7 +404,6 @@ def _set_clusterer_distance_based(
         return KSpectralCentroid(
             # Max shift set to n_timepoints when max_shift is None
             max_shift=None,
-            max_iter=50,
             init=init_algorithm,
             tol=1e-06,
             random_state=random_state,
@@ -419,7 +412,6 @@ def _set_clusterer_distance_based(
     elif "kshape" in c:
         return TimeSeriesKShape(
             init=init_algorithm,
-            max_iter=50,
             n_init=10,
             tol=1e-06,
             random_state=random_state,
@@ -427,7 +419,6 @@ def _set_clusterer_distance_based(
         )
     elif "timeserieskernelkmeans" in c:
         return TimeSeriesKernelKMeans(
-            max_iter=50,
             n_init=10,
             tol=1e-06,
             random_state=random_state,