• GEVA: geometric variability-based approaches for identifying patterns in data 

      Irigoien, I.; Arenas, Concepción; Fernández Aréizaga, Elena; Mestres, Francisco (2009-10-15)
      Article
      Accés restringit per política de l'editorial
      This paper, arising from population studies, develops clustering algorithms for identifying patterns in data. Based on the concept of geometric variability, we have developed one polythetic-divisive and three agglomerative ...