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Merge pull request #83 from realpython/python-scipy-cluster-optimize
Add examples for python-scipy-cluster-optimize
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# Scientific Python: Using SciPy for Optimization
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The code in this folder is associated with the Real Python tutorial [_Scientific Python: Using SciPy for Optimization_](https://realpython.com/python-scipy-cluster-optimize/).
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The dataset for the SMS spam clustering example, contained in the file SMSSpamCollection in this folder, is discussed in following articles:
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Almeida, T.A., Gómez Hidalgo, J.M., Yamakami, A. Contributions to the Study of SMS Spam Filtering: New Collection and Results. Proceedings of the 2011 ACM Symposium on Document Engineering (DOCENG'11), Mountain View, CA, USA, 2011\. [preprint](http://www.dt.fee.unicamp.br/~tiago/smsspamcollection/doceng11.pdf)
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Gómez Hidalgo, J.M., Almeida, T.A., Yamakami, A. On the Validity of a New SMS Spam Collection. Proceedings of the 11th IEEE International Conference on Machine Learning and Applications (ICMLA'12), Boca Raton, FL, USA, 2012\. [preprint](http://www.dt.fee.unicamp.br/~tiago/smsspamcollection/icmla12.pdf)
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Almeida, T.A., Gómez Hidalgo, J.M., Silva, T.P. Towards SMS Spam Filtering: Results under a New Dataset. International Journal of Information Security Science (IJISS), 2(1), 1-18, 2013\. [Invited paper - [full version](http://www.dt.fee.unicamp.br/~tiago/smsspamcollection/IJISS13.pdf)]
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The original data is available from the [author's website](http://www.dt.fee.unicamp.br/~tiago/smsspamcollection/).

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