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Artículo
Supervised classification and mathematical optimization
(Elsevier, 2013-01)
Data Mining techniques often ask for the resolution of optimization problems. Supervised Classification, and, in particular, Support Vector Machines, can be seen as a paradigmatic instance. In this paper, some links between ...
Artículo
Interpreting clusters via prototype optimization
(Elsevier, 2021)
In this paper, we tackle the problem of enhancing the interpretability of the results of Cluster Analy sis. Our goal is to find an explanation for each cluster, such that clusters are characterized as precisely and ...
Artículo
Strongly agree or strongly disagree? Rating features in support vector machines
(Elsevier, 2016-02)
In linear classifiers, such as the Support Vector Machine (SVM), a score is associated with each feature and objects are assigned to classes based on the linear combination of the scores and the values of the features. ...