diff --git a/doc/plot/plot_MAP.py b/doc/plot/plot_MAP.py
index 24e12ca400a20b8ca1db8427b141dd6549f71679..df533d1f4d778e4003767cc9b4ea89964e569af7 100644
--- a/doc/plot/plot_MAP.py
+++ b/doc/plot/plot_MAP.py
@@ -14,7 +14,7 @@ versicolor = data[iris_data.target == 1]
 virginica = data[iris_data.target == 2]
 
 
-# Two clusters with
+# 3 clusters with a feature dimensionality of 2
 mle_machine = bob.learn.em.GMMMachine(3)
 # Creating some fake means for the example
 mle_machine.means = np.array([[5, 3], [4, 2], [7, 3.0]])
diff --git a/doc/plot/plot_ML.py b/doc/plot/plot_ML.py
index a19e780001939b548ace5c66ffacaa102d207a01..1db909e90501808e7349abb4218418841e15ef22 100644
--- a/doc/plot/plot_ML.py
+++ b/doc/plot/plot_ML.py
@@ -18,7 +18,7 @@ setosa = data[iris_data.target == 0]
 versicolor = data[iris_data.target == 1]
 virginica = data[iris_data.target == 2]
 
-# Two clusters with a feature dimensionality of 3
+# 3 clusters with a feature dimensionality of 2
 machine = GMMMachine(
     3,
     convergence_threshold=1e-5,