A New Hybrid Algorithm for Document Clustering Based on Cuckoo Search and K-means

DOI10.1007/978-3-319-07692-8_6zbMath1298.68245OpenAlexW80655634MaRDI QIDQ2929203

Saida Ishak Boushaki, Bendjeghaba Omar, Nadjet Kamel

Publication date: 11 November 2014

Published in: Advances in Intelligent Systems and Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-07692-8_6

zbMATH Keywords

optimizationmetaheuristicvector space model\(K\)-meanscuckoo searchdocument clustering\(F\)-measure

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Problem solving in the context of artificial intelligence (heuristics, search strategies, etc.) (68T20)

Related Items (1)

Unnamed Item

Uses Software

• UCI-ml

Cites Work

• Engineering optimisation by cuckoo search
• A vector space model for automatic indexing

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