Proximity measures for terms based on fuzzy neighborhoods in document sets.

DOI10.1016/J.IJAR.2003.07.007zbMath1059.68033OpenAlexW2084605868MaRDI QIDQ1427949

Sadaaki Miyamoto

Publication date: 14 March 2004

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2003.07.007

zbMATH Keywords

term-document cooccurrence matrix

Mathematics Subject Classification ID

Information storage and retrieval of data (68P20)

Related Items (1)

Description and classification of complex structured objects by applying similarity measures

Cites Work

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• Information clustering based on fuzzy multisets.
• Fuzzy bags and relations with set-valued statistics
• Real-valued multisets and fuzzy sets
• Vocabulary mining for information retrieval: Rough sets and fuzzy sets
• Rough sets
• Unresolved Problems in Cluster Analysis

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