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Optimal variable weighting for hierarchical clustering: An alternating least-squares algorithm

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Author Info

  • Geert Soete
  • Wayne DeSarbo
  • J. Carroll
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    Abstract

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    File URL: http://hdl.handle.net/10.1007/BF01908074
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    Bibliographic Info

    Article provided by Springer in its journal Journal of Classification.

    Volume (Year): 2 (1985)
    Issue (Month): 1 (December)
    Pages: 173-192

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    Handle: RePEc:spr:jclass:v:2:y:1985:i:1:p:173-192

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    Web page: http://www.springerlink.com/link.asp?id=101794

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    Related research

    Keywords: Ultrametric trees; Mathematical programming; Variable importance;

    References

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    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
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    1. Stephen Johnson, 1967. "Hierarchical clustering schemes," Psychometrika, Springer, vol. 32(3), pages 241-254, September.
    2. Eric Holman, 1972. "The relation between hierarchical and euclidean models for psychological distances," Psychometrika, Springer, vol. 37(4), pages 417-423, December.
    3. Wayne DeSarbo & J. Carroll & Linda Clark & Paul Green, 1984. "Synthesized clustering: A method for amalgamating alternative clustering bases with differential weighting of variables," Psychometrika, Springer, vol. 49(1), pages 57-78, March.
    4. Wayne DeSarbo & Vithala Rao, 1984. "GENFOLD2: A set of models and algorithms for the general UnFOLDing analysis of preference/dominance data," Journal of Classification, Springer, vol. 1(1), pages 147-186, December.
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    Cited by:
    1. Wayne DeSarbo & Richard Oliver & Arvind Rangaswamy, 1989. "A simulated annealing methodology for clusterwise linear regression," Psychometrika, Springer, vol. 54(4), pages 707-736, September.
    2. Geert Soete & J. Carroll & Wayne DeSarbo, 1987. "Least squares algorithms for constructing constrained ultrametric and additive tree representations of symmetric proximity data," Journal of Classification, Springer, vol. 4(2), pages 155-173, September.
    3. Michael Brusco & J. Cradit, 2001. "A variable-selection heuristic for K-means clustering," Psychometrika, Springer, vol. 66(2), pages 249-270, June.
    4. Kamel Jedidi & Wayne DeSarbo, 1991. "A stochastic multidimensional scaling procedure for the spatial representation of three-mode, three-way pick any/J data," Psychometrika, Springer, vol. 56(3), pages 471-494, September.
    5. R. Gnanadesikan & J. Kettenring & S. Tsao, 1995. "Weighting and selection of variables for cluster analysis," Journal of Classification, Springer, vol. 12(1), pages 113-136, March.
    6. Stef Buuren & Willem Heiser, 1989. "Clusteringn objects intok groups under optimal scaling of variables," Psychometrika, Springer, vol. 54(4), pages 699-706, September.
    7. Willem Heiser, 2013. "In memoriam, J. Douglas Carroll 1939–2011," Psychometrika, Springer, vol. 78(1), pages 5-13, January.

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