Fuzzy \(c\)-means clustering and internet portals: a case study

DOI10.1016/j.ejor.2003.11.015zbMath1057.91511OpenAlexW2098366821MaRDI QIDQ1767691

Muammer Ozer

Publication date: 8 March 2005

Published in: European Journal of Operational Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ejor.2003.11.015

zbMATH Keywords

InternetFuzzy setsCase study

Mathematics Subject Classification ID

Clustering in the social and behavioral sciences (91C20) Applications of statistics (62P99) Computing methodologies for information systems (hypertext navigation, interfaces, decision support, etc.) (68U35)

Related Items (3)

Conjecturable knowledge discovery: a fuzzy clustering approach ⋮ A parallelized artificial immune network for fuzzy clustering ⋮ BUILDING CUSTOMER MODELS FROM BUSINESS DATA: AN AUTOMATIC APPROACH BASED ON FUZZY CLUSTERING AND MACHINE LEARNING

Cites Work

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• Comparative performance of the FSCL neural net and \(K\)-means algorithm for market segmentation
• A comparison of SOM neural network and hierarchical clustering methods
• Decision making using multiple models
• Coefficient alpha and the internal structure of tests
• Models implementation: A state of the art

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