Cruz García, Jesús Manuel de laGuijarro Mata-García, MaríaPajares Martínsanz, GonzaloHerrera Caro, Pedro Javier2023-06-202023-06-202011978-3-642-21221-5https://hdl.handle.net/20.500.14352/45466© Springer-Verlag Berlin Heidelberg 2011. International Conference on Hybrid Artificial Intelligence Systems (HAIS 2011) (6th. May 23-25, 2011. Wroclaw, Polonia). Partial funding has also been received from DPI2009-14552-C02-01 project, supported by the Ministerio de Educación y Ciencia of Spain within the Plan Nacional de I+D+i.One objective for classifying pixels belonging to specific textures in natural images is to achieve the best performance in classification as possible. We propose a new unsupervised hybrid classifier. The base classifiers for hybridization are the Fuzzy Clustering and the parametric Bayesian, both supervised and selected by their well-tested performance, as reported in the literature. During the training phase we estimate the parameters of each classifier. During the decision phase we apply fuzzy aggregation operators for making the hybridization. The design of the unsupervised classifier from supervised base classifiers and the automatic computation of the final decision with fuzzy aggregation operations, make the main contributions of this paper.engbook parthttp://link.springer.com/chapter/10.1007/978-3-642-21222-2_22http://link.springer.com/open access004Classifier CombinationFuzzy AggregationParametric EstimationFuzzy ClusteringBayes ClassifierInformática (Informática)1203.17 Informática