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A Rough-Fuzzy approach for Support Vector Clustering
ArticleAbstract: Support Vector Clustering (SVC) is an important density-based clustering algorithm which can be applPalabras claves:Data Mining, fuzzy sets, Rough sets, Support Vector ClusteringAutores:Ramiro Saltos, Weber R.Fuentes:scopusDynamic Rough-Fuzzy Support Vector Clustering
ArticleAbstract: Clustering is one of the main data mining tasks with many proven techniques and successful real-worlPalabras claves:Dynamic data mining, fuzzy systems, support vector clustering (SVC), VisualizationAutores:Maldonado S., Ramiro Saltos, Weber R.Fuentes:scopusDynamic rough-fuzzy support vector domain description for outlier detection
Conference ObjectAbstract: Outlier detection is one of the main data mining pre-processing tasks with real-world applications iPalabras claves:Autores:Ramiro Saltos, Weber R.Fuentes:scopusIOWA Rough-Fuzzy Support Vector Data Description
Conference ObjectAbstract: Rough-Fuzzy Support Vector Data Description is a novel soft computing derivative of the classical SuPalabras claves:outlier detection, OWA Operators, Soft-computing, Support Vector Data DescriptionAutores:Ramiro Saltos, Weber R.Fuentes:scopusRough-Fuzzy Support Vector Clustering with OWA Operators
ArticleAbstract: Rough-Fuzzy Support Vector Clustering (RFSVC) is a novel soft computing derivative of the classicalPalabras claves:Data Mining, Ordered Weighted Average, Support Vector Clustering, Uncertainty modelingAutores:Ramiro Saltos, Weber R.Fuentes:scopus