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

    Irigoien, I.; Arenas, Concepción; Fernández Aréizaga, Elena; Mestres, Francisco (2009-10-15)
    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 ...