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If you want a more detailed explanation, then go to the python documentation. There is most of the time a good explanation on how the methods work and what the parameters do.
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* [MLpack::fastmks_C++\_documentation](https://www.mlpack.org/doc/stable/doxygen/classmlpack_1_1fastmks_1_1FastMKS.html)
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* [MLpack::fastmks_Python_documentation](https://www.mlpack.org/doc/stable/python_documentation.html#fastmks)
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* [**MLpack::fastmks_C++\_documentation**](https://www.mlpack.org/doc/stable/doxygen/classmlpack_1_1fastmks_1_1FastMKS.html)
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* [**MLpack::fastmks_Python_documentation**](https://www.mlpack.org/doc/stable/python_documentation.html#fastmks)
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added some of the links from the python documentation
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* Fast max-kernel search tutorial (fastmks)
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* k-nearest-neighbor search
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* [Dual-tree Fast Exact Max-Kernel Search (pdf)](http://mlpack.org/papers/fmks.pdf) |
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* [**knn**](https://gitlab.cs.uni-duesseldorf.de/stups/abschlussarbeiten/prolog-mlpack-libary/-/wikis/PrologMethods/Geometry/knn)
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* [**Dual-tree Fast Exact Max-Kernel Search (pdf)**](http://mlpack.org/papers/fmks.pdf) |
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