Zarrazola, E.Yáñez, JavierGomez, D.Montero, JavierAlonso-Betanzos, AmparoBielza, ConchaSalmerón, AntonioDuarte, AbrahamHidalgo, J. IgnacioMartínez, LuisBarrenechea, EdurneTroncoso, AliciaCorchado, EmilioCorchado, Juan M.Herrera, FranciscoRiquelme, José C.2023-06-202023-06-202013978-84-695-8348-7https://hdl.handle.net/20.500.14352/45590In this paper, we develop an efficient and polynomial hierarchical clustering (unsupervised classification) algorithm for images. The output of this algorithm shows the clust r evolution in a divisive way: since the first iteration in which all the pixels are in the same group until the last iteration in which all the pixels belong to a singleton cluster.spabook partopen access510.5ClusteringGraph-based segmentationCluster evolutionImage segmentationMatemáticas (Matemáticas)12 Matemáticas