The machine learning in the prediction of elections - El aprendizaje automático en la predicción de las elecciones

@inproceedings{LenBorges2015TheML,
  title={The machine learning in the prediction of elections - El aprendizaje autom{\'a}tico en la predicci{\'o}n de las elecciones},
  author={Jose A. Le{\'o}n-Borges and Roger-Ismael Noh-Balam and Lino Rangel G{\'o}mez and Michael P. Strand},
  year={2015}
}
This research article, presents an analysis and a comparison of three different algorithms: A.- Grouping method K-means, B.-Expectation a convergence criteria, EM and C.- Methodology for classification LAMDA, using two software of classification Weka and SALSA, as an aid for the prediction of future elections in the state of Quintana Roo. When working with electoral data, these are classified in a qualitative and quantitative way, by such virtue at the end of this article you will have the… CONTINUE READING