diff --git a/machine_learning/k_means_clust.py b/machine_learning/k_means_clust.py
index 559de9256..040136c76 100644
--- a/machine_learning/k_means_clust.py
+++ b/machine_learning/k_means_clust.py
@@ -132,7 +132,7 @@ def kmeans(
     """This function runs k-means on given data and initial set of centroids.
     maxiter: maximum number of iterations to run.(default=500)
     record_heterogeneity: (optional) a list, to store the history of heterogeneity
-                          as function of iterations
+                          as function of iterations.
                           if None, do not store the history.
     verbose: if True, print how many data points changed their cluster labels in
                           each iteration"""