Density-Based Fuzzy Clustering as a First Step to Learning Rules: Challenges and Solutions

DOI10.1007/978-3-319-03674-8_34zbMath1303.68112OpenAlexW2148445618MaRDI QIDQ2940825

Gözde Ulutagay, Vladik Ya. Kreinovich

Publication date: 21 January 2015

Published in: Advance Trends in Soft Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-03674-8_34

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Reasoning under uncertainty in the context of artificial intelligence (68T37) Multivariate analysis and fuzziness (62H86)

Cites Work

• A note on \(Z\)-numbers
• Robustness of density-based clustering methods with various neighborhood relations
• A new unsupervised approach for fuzzy clustering
• Measurement Errors and Uncertainties
• On Estimation of a Probability Density Function and Mode
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