Supervised fuzzy clustering for the identification of fuzzy classifiers

DOI10.1016/S0167-8655(03)00047-3zbMath1047.68119MaRDI QIDQ4418140

János Abonyi, Ferenc Szeifert

Publication date: 7 August 2003

Published in: Pattern Recognition Letters (Search for Journal in Brave)

zbMATH Keywords

Bayes classifierFuzzy clusteringRule-reductionTransparency and interpretability of fuzzy classifiers

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (6)

Improving probabilities in a fuzzy clustering partition ⋮ Likelihood-fuzzy analysis: from data, through statistics, to interpretable fuzzy classifiers ⋮ Comparative analysis of differential evolution methods to optimize parameters of fuzzy classifiers ⋮ A meta-heuristic approach for improving the accuracy in some classification algorithms ⋮ A support vector machine-based ensemble algorithm for breast cancer diagnosis ⋮ Rough Clustering with Partial Supervision

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