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A toolbox for K-centroids cluster analysis

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  • Leisch, Friedrich
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    File URL: http://www.sciencedirect.com/science/article/B6V8V-4HGM968-1/2/06b87df3172dabe85ad5b6326880f9d7
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    Bibliographic Info

    Article provided by Elsevier in its journal Computational Statistics & Data Analysis.

    Volume (Year): 51 (2006)
    Issue (Month): 2 (November)
    Pages: 526-544

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    Handle: RePEc:eee:csdana:v:51:y:2006:i:2:p:526-544

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    Web page: http://www.elsevier.com/locate/csda

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    Cited by:
    1. Sebastian Krey & Uwe Ligges & Friedrich Leisch, 2014. "Music and timbre segmentation by recursive constrained K-means clustering," Computational Statistics, Springer, vol. 29(1), pages 37-50, February.
    2. Robert Ferstl & David Seres, 2012. "Clustering Austrian Banks’ Business Models and Peer Groups in the European Banking Sector," Financial Stability Report, Oesterreichische Nationalbank (Austrian Central Bank), issue 24, pages 79-95.
    3. Grn, Bettina & Leisch, Friedrich, 2009. "Dealing with label switching in mixture models under genuine multimodality," Journal of Multivariate Analysis, Elsevier, vol. 100(5), pages 851-861, May.
    4. Yasemin Boztug & Thomas Reutterer, 2006. "A Combined Approach for Segment-Specific Analysis of Market Basket Data," SFB 649 Discussion Papers SFB649DP2006-006, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    5. Ratko Grbić & Emmanuel Nyarko & Rudolf Scitovski, 2013. "A modification of the DIRECT method for Lipschitz global optimization for a symmetric function," Journal of Global Optimization, Springer, vol. 57(4), pages 1193-1212, December.

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