Paz Santana, Juan Francisco de Rodríguez González, Sara Bajo Pérez, Javier Corchado Rodríguez, Juan Manuel 2017-09-06T09:15:23Z 2017-09-06T09:15:23Z 2009 9th Computational and Mathematical Methods in Science and Engineering. Volumen 4. http://hdl.handle.net/10366/134977 Clustering is a branch of multivariate analysis that is used to create groups of data. While there are currently a variety of techniques that are used for creating clusters, many require defining additional information, including the actual number of clusters, before they can be carried out. The case study of this research presents a novel neural network that is capable of creating groups by using a combination of hierarchical clustering and self-organizing maps, without requiring the number of existing clusters to be specified beforehand. application/pdf en J. Vigo Aguilar, P. Alonso, S. Oharu, E. Venturino and B. Wade. Attribution-NonCommercial-NoDerivs 3.0 Unported https://creativecommons.org/licenses/by-nc-nd/3.0/ info:eu-repo/semantics/openAccess Computer Science A new clustegin algorithm applying a hierarchical method neural network info:eu-repo/semantics/article