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Finding Groups in Large Data Sets

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  • Adrian Müller

    (Center for Energy Policy and Economics CEPE, Department of Management, Technology and Economics, ETH Zurich, Switzerland)

Abstract

This paper aims to give an overview of methods to find groups in large data sets, such as household expenditure survey data. These methods are grouped in three: cluster analysis, dimension reduction and basic explorative methods. The emphasis is put on a critical analysis and potential drawbacks, especially of inputs that have to be provided by the researcher. These may impose some structure not present in the data, thus defeating the purpose of revealing intrinsic patterns. In general, the more elaborate methods, such as cluster analysis, are delicate to apply, especially in the context of social sciences. Often, it may be best to limit oneself to more transparent approaches such as comparisons of basic statistics.

Suggested Citation

  • Adrian Müller, 2002. "Finding Groups in Large Data Sets," CEPE Working paper series 02-18, CEPE Center for Energy Policy and Economics, ETH Zurich.
    • Handle: RePEc:cee:wpcepe:02-18
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    File URL: http://www.cepe.ethz.ch/publications/workingPapers/CEPE_WP18.pdf
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    References listed on IDEAS

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    Cited by:

    1. Reinhard Madlener & Stefan Vögtli, 2006. "Diffusion of bioenergy in urban areas: socio-economic analysis of the planned Swiss wood-fired cogeneration plant in Basel," CEPE Working paper series 06-53, CEPE Center for Energy Policy and Economics, ETH Zurich.
    2. Madlener, Reinhard & Koller, Martin, 2007. "Economic and CO2 mitigation impacts of promoting biomass heating systems: An input-output study for Vorarlberg, Austria," Energy Policy, Elsevier, vol. 35(12), pages 6021-6035, December.
    3. Reinhard Madlener & Carmenza Robledo & Bart Muys & Bo Hektor & Julije Domac, 2003. "A Sustainability Framework for Enhancing the Long-Term Success of LULUCF Projects," CEPE Working paper series 03-29, CEPE Center for Energy Policy and Economics, ETH Zurich.
    4. Silvia Banfi & Massimo Filippini & Andrea Horehájová, 2007. "Hedonic Price Functions for Zurich and Lugano with Special Focus on Electrosmog," CEPE Working paper series 07-57, CEPE Center for Energy Policy and Economics, ETH Zurich.

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