diff --git a/uadapy/dr/uamds.py b/uadapy/dr/uamds.py
index 9749639..045d739 100644
--- a/uadapy/dr/uamds.py
+++ b/uadapy/dr/uamds.py
@@ -521,7 +521,7 @@ def apply_uamds(means: list[np.ndarray], covs: list[np.ndarray], target_dim=2) -
     }
 
 
-def uamds(distributions: list, dims: int=2):
+def uamds(distributions: list, dims: int=2, seed: int=0):
     """
     Applies the UAMDS algorithm to the provided distributions and returns the projected distributions
     in lower-dimensional space. It assumes multivariate normal distributions.
@@ -534,6 +534,8 @@ def uamds(distributions: list, dims: int=2):
         list of input distributions (distribution objects offering mean() and cov() methods)
     dims : int
         target dimensionality, 2 by default.
+    seed : int
+        Set the random seed for the initialization, 0 by default
 
     Returns
     -------
@@ -541,6 +543,7 @@ def uamds(distributions: list, dims: int=2):
         List of distributions living in projection space (i.e. of provided dimensionality)
     """
     try:
+        np.random.seed(seed)
         means = [d.mean() for d in distributions]
         covs = [d.cov() for d in distributions]
         result = apply_uamds(means, covs, dims)