A Framework for Unsupervised Selection of Indiscernibility Threshold in Rough Clustering

DOI10.1007/11908029_90zbMath1162.68537OpenAlexW1528608132MaRDI QIDQ3535544

Shusaku Tsumoto, Shoji Hirano

Publication date: 13 November 2008

Published in: Rough Sets and Current Trends in Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/11908029_90

zbMATH Keywords

rough setsclusteringindiscernibility

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Generalized Agglomerative Clustering with Application to Information Systems

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