The code in this folder is associated with the Real Python tutorial Scientific Python: Using SciPy for Optimization.
The dataset for the SMS spam clustering example, contained in the file SMSSpamCollection in this folder, is discussed in following articles:
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
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
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]
The original data is available from the author's website.