IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v93y1996i2p402-417.html
   My bibliography  Save this article

A comparison of SOM neural network and hierarchical clustering methods

Author

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

Abstract

No abstract is available for this item.

Suggested Citation

  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0377-2217(96)00038-0
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Giuliano, Genevieve & Small, Kenneth A., 1991. "Subcenters in the Los Angeles Region," University of California Transportation Center, Working Papers qt6ts0t95w, University of California Transportation Center.
    2. 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.
    3. John M. Mulvey & Harlan P. Crowder, 1979. "Cluster Analysis: An Application of Lagrangian Relaxation," Management Science, INFORMS, vol. 25(4), pages 329-340, April.
    4. 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.
    5. Glenn Milligan, 1985. "An algorithm for generating artificial test clusters," Psychometrika, Springer;The Psychometric Society, vol. 50(1), pages 123-127, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Marzieh MOKARRAM & Mahdi NAJAFI-GHIRI & Abdol Rassoul ZAREI, 2018. "Using self-organizing maps for determination of soil fertility (case study: Shiraz plain)," Soil and Water Research, Czech Academy of Agricultural Sciences, vol. 13(1), pages 11-17.
    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.
    5. Guobin Fu & Stephanie R. Clark & Dennis Gonzalez & Rodrigo Rojas & Sreekanth Janardhanan, 2023. "Spatial and Temporal Patterns of Groundwater Levels: A Case Study of Alluvial Aquifers in the Murray–Darling Basin, Australia," Sustainability, MDPI, vol. 15(23), pages 1-18, November.
    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.
    10. repec:onb:oenbwp:y:2005:i:9:b:1 is not listed on IDEAS
    11. Atefeh Abdolhay & Bahram Saghafian & Mohd Soom & Abdul Ghazali, 2012. "Identification of homogenous regions in Gorganrood basin (Iran) for the purpose of regionalization," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 61(3), pages 1427-1442, April.
    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).
    14. Pérez-Campuzano, Darío & Rubio Andrada, Luis & Morcillo Ortega, Patricio & López-Lázaro, Antonio, 2022. "Visualizing the historical COVID-19 shock in the US airline industry: A Data Mining approach for dynamic market surveillance," Journal of Air Transport Management, Elsevier, vol. 101(C).
    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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Chen, S. K. & Mangiameli, P. & West, D., 1995. "The comparative ability of self-organizing neural networks to define cluster structure," Omega, Elsevier, vol. 23(3), pages 271-279, June.
    2. Cats, Oded & Wang, Qian & Zhao, Yu, 2015. "Identification and classification of public transport activity centres in Stockholm using passenger flows data," Journal of Transport Geography, Elsevier, vol. 48(C), pages 10-22.
    3. Jae Ik Kim & Chang Hwan Yeo & Jin-Hwi Kwon, 2014. "Spatial change in urban employment distribution in Seoul metropolitan city: clustering, dispersion and general dispersion," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 18(3), pages 355-372, November.
    4. de Bellefon, Marie-Pierre & Combes, Pierre-Philippe & Duranton, Gilles & Gobillon, Laurent & Gorin, Clément, 2021. "Delineating urban areas using building density," Journal of Urban Economics, Elsevier, vol. 125(C).
    5. Eran Feitelson, 2001. "Malicious Siting or Unrecognised Processes? A Spatio-temporal Analysis of Environmental Conflicts in Tel-Aviv," Urban Studies, Urban Studies Journal Limited, vol. 38(7), pages 1143-1159, June.
    6. Ivan Muñiz & Anna Galindo & Miguel Angel García, 2005. "Descentralisation, Integration and polycentrism in Barcelona," Working Papers wpdea0512, Department of Applied Economics at Universitat Autonoma of Barcelona.
    7. Liv Osland & Inge Thorsen, 2013. "Spatial Impacts, Local Labour Market Characteristics and Housing Prices," Urban Studies, Urban Studies Journal Limited, vol. 50(10), pages 2063-2083, August.
    8. McMillen, Daniel P. & Smith, Stefani C., 2003. "The number of subcenters in large urban areas," Journal of Urban Economics, Elsevier, vol. 53(3), pages 321-338, May.
    9. Pierre Dessemontet & Vincent Kaufmann & Christophe Jemelin, 2010. "Switzerland as a Single Metropolitan Area? A Study of its Commuting Network," Urban Studies, Urban Studies Journal Limited, vol. 47(13), pages 2785-2802, November.
    10. Blanca Arellano & Josep Roca, 2012. "Urban sprawl in megacities: Is it an unsustainable model?," ERES eres2012_161, European Real Estate Society (ERES).
    11. Chunil Kim & Choongik Choi, 2019. "Towards Sustainable Urban Spatial Structure: Does Decentralization Reduce Commuting Times?," Sustainability, MDPI, vol. 11(4), pages 1-28, February.
    12. Vicente Romero de à vila Serrano, 2019. "The Intrametropolitan Geography of Knowledge-Intensive Business Services (KIBS): A Comparative Analysis of Six European and U.S. City-Regions," Economic Development Quarterly, , vol. 33(4), pages 279-295, November.
    13. McDonald, John F. & McMillen, Daniel P., 2000. "Employment Subcenters and Subsequent Real Estate Development in Suburban Chicago," Journal of Urban Economics, Elsevier, vol. 48(1), pages 135-157, July.
    14. Edward L. Glaeser & Matthew E. Kahn, 2001. "Decentralized Employment and the Transformation of the American City," Harvard Institute of Economic Research Working Papers 1912, Harvard - Institute of Economic Research.
    15. Modarres, Ali, 2003. "Polycentricity and transit service," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(10), pages 841-864, December.
    16. Jaume Masip Tresserra, 2012. "Identifying the Employment and Population Centers at regional and metropolitan scale: The Case of Catalonia and Barcelona," ERSA conference papers ersa12p70, European Regional Science Association.
    17. Ivan Muñiz & Anna Galindo & Miguel Ángel García, 2002. "Cubic spline population density functions and subcentre delimitation. The case of Barcelona," Working Papers wpdea0209, Department of Applied Economics at Universitat Autonoma of Barcelona.
    18. Zhenhua Chen & Laurie A. Schintler, 2023. "Rediscovering regional science: Positioning the field's evolving location in science and society," Journal of Regional Science, Wiley Blackwell, vol. 63(3), pages 617-642, June.
    19. Christian L. Redfearn, 2007. "Determinacy in Urban Form: Fixed Investment & Path Dependence in Urban Areas," Working Paper 8559, USC Lusk Center for Real Estate.
    20. Yue, Wenze & Wang, Tianyu & Liu, Yong & Zhang, Qun & Ye, Xinyue, 2019. "Mismatch of morphological and functional polycentricity in Chinese cities: An evidence from land development and functional linkage," Land Use Policy, Elsevier, vol. 88(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ejores:v:93:y:1996:i:2:p:402-417. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.