Merge remote-tracking branch 'upstream/3.4' into merge-3.4

[platform/upstream/opencv.git] / doc / tutorials / ml / introduction_to_pca / introduction_to_pca.markdown

diff --git a/doc/tutorials/ml/introduction_to_pca/introduction_to_pca.markdown b/doc/tutorials/ml/introduction_to_pca/introduction_to_pca.markdown
index fe712a5..63ab1ee 100644 (file)
--- a/doc/tutorials/ml/introduction_to_pca/introduction_to_pca.markdown
+++ b/doc/tutorials/ml/introduction_to_pca/introduction_to_pca.markdown
@@ -93,7 +93,7 @@ Source Code
 
 @add_toggle_cpp
 -   **Downloadable code**: Click
-    [here](https://github.com/opencv/opencv/tree/3.4/samples/cpp/tutorial_code/ml/introduction_to_pca/introduction_to_pca.cpp)
+    [here](https://github.com/opencv/opencv/tree/master/samples/cpp/tutorial_code/ml/introduction_to_pca/introduction_to_pca.cpp)
 
 -   **Code at glance:**
     @include samples/cpp/tutorial_code/ml/introduction_to_pca/introduction_to_pca.cpp
@@ -101,7 +101,7 @@ Source Code
 
 @add_toggle_java
 -   **Downloadable code**: Click
-    [here](https://github.com/opencv/opencv/tree/3.4/samples/java/tutorial_code/ml/introduction_to_pca/IntroductionToPCADemo.java)
+    [here](https://github.com/opencv/opencv/tree/master/samples/java/tutorial_code/ml/introduction_to_pca/IntroductionToPCADemo.java)
 
 -   **Code at glance:**
     @include samples/java/tutorial_code/ml/introduction_to_pca/IntroductionToPCADemo.java
@@ -109,13 +109,13 @@ Source Code
 
 @add_toggle_python
 -   **Downloadable code**: Click
-    [here](https://github.com/opencv/opencv/tree/3.4/samples/python/tutorial_code/ml/introduction_to_pca/introduction_to_pca.py)
+    [here](https://github.com/opencv/opencv/tree/master/samples/python/tutorial_code/ml/introduction_to_pca/introduction_to_pca.py)
 
 -   **Code at glance:**
     @include samples/python/tutorial_code/ml/introduction_to_pca/introduction_to_pca.py
 @end_toggle
 
-@note Another example using PCA for dimensionality reduction while maintaining an amount of variance can be found at [opencv_source_code/samples/cpp/pca.cpp](https://github.com/opencv/opencv/tree/3.4/samples/cpp/pca.cpp)
+@note Another example using PCA for dimensionality reduction while maintaining an amount of variance can be found at [opencv_source_code/samples/cpp/pca.cpp](https://github.com/opencv/opencv/tree/master/samples/cpp/pca.cpp)
 
 Explanation
 -----------