Doxygen: replaced @includelineno by @include to enable copy-pasting
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@@ -93,7 +93,7 @@ Source Code
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This tutorial code's is shown lines below. You can also download it from
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[here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/ml/introduction_to_pca/introduction_to_pca.cpp).
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@includelineno cpp/tutorial_code/ml/introduction_to_pca/introduction_to_pca.cpp
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@include cpp/tutorial_code/ml/introduction_to_pca/introduction_to_pca.cpp
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@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/Itseez/opencv/tree/master/samples/cpp/pca.cpp)
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@@ -94,7 +94,7 @@ the weight vector \f$\beta\f$ and the bias \f$\beta_{0}\f$ of the optimal hyperp
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Source Code
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-----------
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@includelineno cpp/tutorial_code/ml/introduction_to_svm/introduction_to_svm.cpp
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@include cpp/tutorial_code/ml/introduction_to_svm/introduction_to_svm.cpp
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Explanation
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-----------
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@@ -89,7 +89,7 @@ Source Code
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You may also find the source code in `samples/cpp/tutorial_code/ml/non_linear_svms` folder of the OpenCV source library or
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[download it from here](https://github.com/Itseez/opencv/tree/master/samples/cpp/tutorial_code/ml/non_linear_svms/non_linear_svms.cpp).
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@includelineno cpp/tutorial_code/ml/non_linear_svms/non_linear_svms.cpp
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@include cpp/tutorial_code/ml/non_linear_svms/non_linear_svms.cpp
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Explanation
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-----------
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