Novel meta-heuristic algorithms for clustering web documents
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Publication:945273
DOI10.1016/j.amc.2007.12.058zbMath1154.68492OpenAlexW2100820117MaRDI QIDQ945273
Hassan Abolhassani, Mehrdad Mahdavi, Morteza Haghir Chehreghani, Rana Forsati
Publication date: 12 September 2008
Published in: Applied Mathematics and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.amc.2007.12.058
Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05) Network design and communication in computer systems (68M10) Pattern recognition, speech recognition (68T10)
Related Items (7)
Hybrid PoS-tagging: a cooperation of evolutionary and statistical approaches ⋮ An improved variant of the conventional harmony search algorithm ⋮ An improved harmony search algorithm for synchronization of discrete-time chaotic systems ⋮ An algebraic multigrid-based algorithm for circuit clustering ⋮ Automatic clustering using genetic algorithms ⋮ Chaotic harmony search algorithms ⋮ Hybrid feature selection algorithm using symmetrical uncertainty and a harmony search algorithm
Uses Software
Cites Work
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- Global-best harmony search
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- K-Means-Type Algorithms: A Generalized Convergence Theorem and Characterization of Local Optimality
- Recent Studies in Automatic Text Analysis and Document Retrieval
- Empirical and theoretical comparisons of selected criterion functions for document clustering
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