diff --git a/modules/core/doc/clustering.rst b/modules/core/doc/clustering.rst
index dc9b28799..fd4047553 100644
--- a/modules/core/doc/clustering.rst
+++ b/modules/core/doc/clustering.rst
@@ -15,7 +15,15 @@ Finds centers of clusters and groups input samples around the clusters.
 
     :param samples: Floating-point matrix of input samples, one row per sample.
 
-    :param data: Data for clustering.
+    :param data: Data for clustering. An array of N-Dimensional points with float coordinates is needed. Examples of this array can be:
+
+           * ``Mat points(count, 2, CV_32F);``
+
+           * ``Mat points(count, 1, CV_32FC2);``
+
+           * ``Mat points(1, count, CV_32FC2);``
+
+           * ``std::vector<cv::Point2f> points(sampleCount);``
 
     :param cluster_count: Number of clusters to split the set by.
 
diff --git a/modules/legacy/src/calibfilter.cpp b/modules/legacy/src/calibfilter.cpp
index 99e9ec7c1..9bcf03596 100644
--- a/modules/legacy/src/calibfilter.cpp
+++ b/modules/legacy/src/calibfilter.cpp
@@ -333,12 +333,6 @@ void CvCalibFilter::Stop( bool calibrate )
                                    points[0],points[1],
                                    buffer,
                                    &stereo);
-
-                for( i = 0; i < 9; i++ )
-                {
-                    stereo.fundMatr[i] = stereo.fundMatr[i];
-                }
-
             }
 
         }