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Evaluation of technology clubs by clustering: A cautionary note. (2021). Amavilah, Voxi Heinrich ; Otero, Abraham ; Andres, Antonio Rodriguez.
In: MPRA Paper.
RePEc:pra:mprapa:109138.

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  62. Energy paths in the European Union: A model-based clustering approach. (2017). Csereklyei, Zsuzsanna ; Kuchenhoff, Helmut ; Langer, Johannes ; Thurner, Paul W.
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    RePEc:eee:eneeco:v:65:y:2017:i:c:p:442-457.

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  63. A Monte Carlo evaluation of three methods to detect local dependence in binary data latent class models. (2013). Vermunt, Jeroen ; Kollenburg, Geert ; Oberski, Daniel .
    In: Advances in Data Analysis and Classification.
    RePEc:spr:advdac:v:7:y:2013:i:3:p:267-279.

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  64. Does the estimation of the propensity score by machine learning improve matching estimation? : The case of Germanys programmes for long term unemployed. (2005). Moczall, Andreas ; Wolff, Joachim ; Lechner, Michael ; Goller, Daniel.
    In: IAB Discussion Paper.
    RePEc:iab:iabdpa:202005.

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