Listar por tema "DBSCAN"

Mostrando ítems 1-3 de 3

    • openAccess   A New Under-Sampling Method to Face Class Overlap and Imbalance 

      Guzmán-Ponce, Angélica; Valdovinos Rosas, Rosa María; Sánchez Garreta, Josep Salvador; Marcial-Romero, J. Raymundo MDPI (2020-07-07)
      Class overlap and class imbalance are two data complexities that challenge the design of effective classifiers in Pattern Recognition and Data Mining as they may cause a significant loss in performance. Several solutions ...

    • openAccess   DBIG-US: A two-stage under-sampling algorithm to face the class imbalance problem 

      Guzmán-Ponce, Angélica; Sánchez Garreta, Josep Salvador; Valdovinos Rosas, Rosa María; Marcial-Romero, J. Raymundo Elsevier (2020-11-12)
      The class imbalance problem occurs when one class far outnumbers the other classes, causing most traditional classifiers perform poorly on the minority classes. To tackle this problem, a plethora of techniques have been ...

    • openAccess   Improving DBSCAN for Indoor Positioning Using Wi-Fi Radio Maps in Wearable and IoT Devices 

      Quezada Gaibor, Darwin; Klus, Lucie; Torres-Sospedra, Joaquín; Lohan, Elena Simona; Nurmi, Jari; Huerta, Joaquin IEEE (2020-10-05)
      IoT devices and wearables may rely on Wi-Fi finger-printing to estimate the position indoors. The limited resources of these devices make it necessary to provide adequate methods to reduce the operational computational ...