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A comparison of SOM neural network and hierarchical clustering methods

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  • Mangiameli, Paul
  • Chen, Shaw K.
  • West, David

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  • Mangiameli, Paul & Chen, Shaw K. & West, David, 1996. "A comparison of SOM neural network and hierarchical clustering methods," European Journal of Operational Research, Elsevier, vol. 93(2), pages 402-417, September.
    • Handle: RePEc:eee:ejores:v:93:y:1996:i:2:p:402-417
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    1. Giuliano, Genevieve & Small, Kenneth A., 1991. "Subcenters in the Los Angeles region," Regional Science and Urban Economics, Elsevier, vol. 21(2), pages 163-182, July.
    2. John M. Mulvey & Harlan P. Crowder, 1979. "Cluster Analysis: An Application of Lagrangian Relaxation," Management Science, INFORMS, vol. 25(4), pages 329-340, April.
    3. Glenn Milligan, 1980. "An examination of the effect of six types of error perturbation on fifteen clustering algorithms," Psychometrika, Springer;The Psychometric Society, vol. 45(3), pages 325-342, September.
    4. Glenn Milligan, 1985. "An algorithm for generating artificial test clusters," Psychometrika, Springer;The Psychometric Society, vol. 50(1), pages 123-127, March.
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    2. Ulengin, Fusun & Ulengin, Burc & Onsel, Sule, 2002. "A power-based measurement approach to specify macroeconomic competitiveness of countries," Socio-Economic Planning Sciences, Elsevier, vol. 36(3), pages 203-226, September.
    3. Mingoti, Sueli A. & Lima, Joab O., 2006. "Comparing SOM neural network with Fuzzy c-means, K-means and traditional hierarchical clustering algorithms," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1742-1759, November.
    4. Eun Sun Kim & Yunjeong Choi & Jeongeun Byun, 2019. "Big Data Analytics in Government: Improving Decision Making for R&D Investment in Korean SMEs," Sustainability, MDPI, vol. 12(1), pages 1-14, December.
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    6. Andreas Wunsch & Tanja Liesch & Stefan Broda, 2022. "Feature-based Groundwater Hydrograph Clustering Using Unsupervised Self-Organizing Map-Ensembles," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(1), pages 39-54, January.
    7. Curry, B. & Morgan, P. H., 2004. "Evaluating Kohonen's learning rule: An approach through genetic algorithms," European Journal of Operational Research, Elsevier, vol. 154(1), pages 191-205, April.
    8. Paradi, Joseph C. & Zhu, Haiyan & Edelstein, Barak, 2012. "Identifying managerial groups in a large Canadian bank branch network with a DEA approach," European Journal of Operational Research, Elsevier, vol. 219(1), pages 178-187.
    9. Ramin Baghai‐Wadji & Rami El‐Berry & Stefan Klocker & Markus Schwaiger, 2006. "Changing investment styles: style creep and style gaming in the hedge fund industry," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 14(4), pages 157-177, October.
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    12. Marcus Deetz, 2019. "K-Means Clustering of Self-Organizing Maps: An Empirical Study on the Information Content of Self-Classification of Hedge Fund Managers," International Journal of Management Science and Business Administration, Inovatus Services Ltd., vol. 5(3), pages 43-57, March.
    13. Machado de CAMPOS, Silvia Regina & Henriques, Roberto & Yanaze, Mitsuru Higuchi, 2019. "Knowledge discovery through higher education census data," Technological Forecasting and Social Change, Elsevier, vol. 149(C).
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    15. Deetz, Marcus & Poddig, Thorsten & Varmaz, Armin, 2009. "Klassifizierung von Hedge-Fonds durch das k-means Clustering von Self-Organizing Maps: eine renditebasierte Analyse zur Selbsteinstufungsgüte und Stiländerungsproblematik [Classifying Hedge Funds u," MPRA Paper 16939, University Library of Munich, Germany.
    16. Manuel Chaves-Maza & Eugenio M. Fedriani Martel, 2020. "Entrepreneurship support ways after the COVID-19 crisis," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 8(2), pages 662-681, December.
    17. Lozano, S. & Guerrero, F. & Onieva, L. & Larraneta, J., 1998. "Kohonen maps for solving a class of location-allocation problems," European Journal of Operational Research, Elsevier, vol. 108(1), pages 106-117, July.
    18. Onsel Sahin, Sule & Ulengin, Fusun & Ulengin, Burc, 2004. "Using neural networks and cognitive mapping in scenario analysis: The case of Turkey's inflation dynamics," European Journal of Operational Research, Elsevier, vol. 158(1), pages 124-145, October.
    19. Antonio Russo & Ian Smith, 2012. "Attractive regions: for whom? And how does that matter?," ERSA conference papers ersa12p362, European Regional Science Association.
    20. Pankaj Kumar Medhi & Sandeep Mondal, 2016. "A neural feature extraction model for classification of firms and prediction of outsourcing success: advantage of using relational sources of information for new suppliers," International Journal of Production Research, Taylor & Francis Journals, vol. 54(20), pages 6071-6081, October.
    21. Ozer, Muammer, 2005. "Fuzzy c-means clustering and Internet portals: A case study," European Journal of Operational Research, Elsevier, vol. 164(3), pages 696-714, August.
    22. Z Hua & S Li & Z Tao, 2006. "A rule-based risk decision-making approach and its application in China's customs inspection decision," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(11), pages 1313-1322, November.
    23. Ana Maria Mihaela Iordache & Codruța Cornelia Dura & Cristina Coculescu & Claudia Isac & Ana Preda, 2021. "Using Neural Networks in Order to Analyze Telework Adaptability across the European Union Countries: A Case Study of the Most Relevant Scenarios to Occur in Romania," IJERPH, MDPI, vol. 18(20), pages 1-28, October.
    24. Mayra Z Rodriguez & Cesar H Comin & Dalcimar Casanova & Odemir M Bruno & Diego R Amancio & Luciano da F Costa & Francisco A Rodrigues, 2019. "Clustering algorithms: A comparative approach," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-34, January.

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