• Differential evolution clustering and data mining for determining learning routes in moodle 

      Viloria, Amelec; Crissien Borrero, Tito; Vargas Villa, Jesús; Torres, Maritza; García Guiliany, Jesús; Vargas Mercado, Carlos; Orellano Llinas, Nataly; Batista Zea, Karina (Springer Science and Business Media Deutschland GmbHGermany, 2019-07-30)
      Data mining techniques are being widely used in the field of education from the arise of e-learning platforms like Moodle, WebCT, Claroline, and others, and the virtual learning system they entail. Information systems store ...
    • MC-Kmeans: an approach to cell image segmentation using clustering algorithms 

      Gamarra, Margarita; Manjarres, Yesit; Torres Torres, Melitsa; Escorcia-Gutierrez, Jose; Zurek, Eduardo (Corporación Universidad de la Costa, 2021)
      Digital image processing has been a fundamental tool for the diagnostic and treatment of diseases. Several techniques have been used to analyze microscopic images in cell-level processes. Different methods for the segmentation ...
    • U-Control Chart Based Differential Evolution Clustering for Determining the Number of Cluster in k-Means 

      Silva, Jesús; Pineda Lezama, Omar Bonerge; Varela, Noel; García Guiliany, Jesús; Steffens Sanabria, Ernesto; Sánchez Otero, Madelin; Álvarez Rojas, Vladimir (International Conference on Green, Pervasive, and Cloud Computing, 2019-04-27)
      The automatic clustering differential evolution (ACDE) is one of the clustering methods that are able to determine the cluster number automatically. However, ACDE still makes use of the manual strategy to determine k ...
    • U-control chart-based differential evolution clustering for determining the number of clusters in k-Means 

      Rondón, Carlos; Romero-Pérez, Ivon; García Guliany, Jesús; Steffens Sanabria, Ernesto (Springer International Publishing AGSwitzerland, 2019)
      Data are critical sources in several organizations and therefore the efficiency of access to it, sharing, extracting information and making use of that information has become an urgent necessity. Currently, data mining is ...