• Artículo
      Icon

      Interpreting clusters via prototype optimization 

      Carrizosa Priego, Emilio José; Kurishchenko, Kseniia; Marín, Alfredo; Romero Morales, María Dolores (Elsevier, 2021)
      In this paper, we tackle the problem of enhancing the interpretability of the results of Cluster Analy sis. Our goal is ...
    • Artículo
      Icon

      Strongly agree or strongly disagree? Rating features in support vector machines 

      Carrizosa Priego, Emilio José; Nogales Gómez, Amaya; Romero Morales, María Dolores (Elsevier, 2016-02)
      In linear classifiers, such as the Support Vector Machine (SVM), a score is associated with each feature and objects are ...
    • Artículo
      Icon

      Supervised classification and mathematical optimization 

      Carrizosa Priego, Emilio José; Romero Morales, María Dolores (Elsevier, 2013-01)
      Data Mining techniques often ask for the resolution of optimization problems. Supervised Classification, and, in particular, ...