• Dimensionality reduction-based metric learning using information theoretic measures 

      Cervati Neto, Alaor (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 30/04/2024)
      Processing large amounts of data to extract useful information is one of the main issues that may be approached using machine learning. One way to obtain this information is by grouping data according to their common ...