Tutorial sobre Fuzzy-c-Means e Fuzzy Learning Vector Quantization: Abordagens Híbridas para Tarefas de Agrupamento e Classificação
نویسندگان
چکیده
منابع مشابه
An integrated approach to fuzzy learning vector quantization and fuzzy c-means clustering
This letter derives a new interpretation for a family of competitive learning algorithms and investigates their relationship to fuzzy c-means and fuzzy learning vector quantization. These algorithms map a set of feature vectors into a set of prototypes associated with a competitive network that performs unsupervised learning. Derivation of the new algorithms is accomplished by minimizing an ave...
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Nature has always been a great source of inspiration for the development of computational approaches for optimization. Two major groups representing this class of biologically inspired algorithms are Swarm Intelligence and Evolutionary Computation. Such algorithms are called metaheuristics and are recognized to be efficient approaches for solving complex problems. Both Swarm Intelligence and Ev...
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A large variety of machine learning algorithms for classification problems have been proposed in the literature. Fuzzy methods have also been proposed presenting good results for classification problems. However, papers presenting comparisons between the results of those two communities are rare. Thus, this paper aims at presenting and comparing a few classic machine learning approaches for cla...
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ژورنال
عنوان ژورنال: Revista de Informática Teórica e Aplicada
سال: 2012
ISSN: 2175-2745,0103-4308
DOI: 10.22456/2175-2745.13764