diff --git a/kaggle_requirements.txt b/kaggle_requirements.txt
index 6400d8a1..f8e08395 100644
--- a/kaggle_requirements.txt
+++ b/kaggle_requirements.txt
@@ -69,6 +69,7 @@ keras<3.6
 keras-cv
 keras-nlp
 keras-tuner
+kmodes
 kornia
 langid
 leven
diff --git a/tests/test_kmodes.py b/tests/test_kmodes.py
new file mode 100644
index 00000000..056a7f71
--- /dev/null
+++ b/tests/test_kmodes.py
@@ -0,0 +1,20 @@
+import unittest
+
+import numpy as np
+from kmodes.kmodes import KModes
+
+
+class TestKmodes(unittest.TestCase):
+    def test_plot(self):
+        data = np.array(
+            [
+                ["A", "B", "C"],
+                ["B", "C", "A"],
+                ["C", "A", "B"],
+                ["A", "C", "B"],
+                ["A", "A", "B"],
+            ]
+        )
+        km = KModes(n_clusters=3, init="Huang", n_init=5, verbose=0)
+        clusters = km.fit_predict(data)
+        self.assertEqual(len(np.unique(clusters)), 3)