Now showing items 1-3 of 3

    • An efficient approximation to the K-means clustering for Massive Data 

      Capo, M.; Pérez, A.Autoridad BCAM; Lozano, J.A.Autoridad BCAM (2017-02-01)
      Due to the progressive growth of the amount of data available in a wide variety of scientific fields, it has become more difficult to manipulate and analyze such information. In spite of its dependency on the initial ...
    • An efficient approximation to the K-means clustering for Massive Data 

      Capo, M.; Pérez, A.Autoridad BCAM; Lozano, J.A.Autoridad BCAM (2016-06-28)
      Due to the progressive growth of the amount of data available in a wide variety of scientific fields, it has become more difficult to manipulate and analyze such information. In spite of its dependency on the initial ...
    • K-means for Evolving Data Streams 

      Bidaurrazaga, A.Autoridad BCAM; Pérez, A.Autoridad BCAM; Capó, M. (2021-01-01)
      Nowadays, streaming data analysis has become a relevant area of research in machine learning. Most of the data streams available are unlabeled, and thus it is necessary to develop specific clustering techniques that take ...