Now showing items 1-2 of 2

    • Feature weighting in DBSCAN using reverse nearest neighbours 

      Chowdhury, Stiphen; Helian, Na; Cordeiro de Amorim, Renato (2023-05-01)
      DBSCAN is arguably the most popular density-based clustering algorithm, and it is capable of recovering non-spherical clusters. One of its main weaknesses is that it treats all features equally. In this paper, we propose ...
    • Learning Feature Weights for Density-Based Clustering 

      Chowdhury, Stiphen (2021-09-01)
      K-Means is the most popular and widely used clustering algorithm. This algorithm cannot recover non-spherical shape clusters in data sets. DBSCAN is arguably the most popular algorithm to recover arbitrary shape clusters; ...