diff --git a/Point_set_processing_3/doc/Point_set_processing_3/Point_set_processing_3.txt b/Point_set_processing_3/doc/Point_set_processing_3/Point_set_processing_3.txt
index ac0b0053345..e4ba85448c4 100644
--- a/Point_set_processing_3/doc/Point_set_processing_3/Point_set_processing_3.txt
+++ b/Point_set_processing_3/doc/Point_set_processing_3/Point_set_processing_3.txt
@@ -223,7 +223,7 @@ the covariance matrix: \f[ \sigma(p) = \frac{\lambda_0}{\lambda_0 +
 
 This function goes from \f$0\f$ if the cluster is coplanar to
 \f$1/3\f$ if it is fully isotropic. If a cluster's variation is above
-`var_max`, it is splitted. If `var_max` is equal to \f$1/3\f$, this
+`var_max`, it is split. If `var_max` is equal to \f$1/3\f$, this
 parameter has no effect and the clustering is regular on the whole
 point set.