Interval-valued fuzzy clustering
Miguel Pagola, Aránzazu Jurío, Edurne Barrenechea, Javier Fernández, Humberto Bustince · Advances in intelligent systems research/Advances in Intelligent Systems Research · 2015
In this work we propose an objective function to obtain an interval-valued fuzzy clustering. After the process of optimization we obtain an interval-valued fuzzy partition in which the length of the intervals depends on the position of the points with respect of the clusters.