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Algorithm 13: Strong Component Hierarchical Clustering

Author

Listed:
  • P B Slater

    (Community and Organization Research Institute, University of California, Santa Barbara, CA 93106, USA)

  • Referee C Wymer

    (Department of Town and Country Planning, Newcastle University, Newcastle upon Tyne NE1 7RU, England)

Abstract

No abstract is available for this item.

Suggested Citation

  • P B Slater & Referee C Wymer, 1987. "Algorithm 13: Strong Component Hierarchical Clustering," Environment and Planning A, , vol. 19(1), pages 117-125, January.
  • Handle: RePEc:sae:envira:v:19:y:1987:i:1:p:117-125
    DOI: 10.1068/a190117
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    References listed on IDEAS

    as
    1. Paul Slater, 1981. "Combinatorial procedures for structuring internal migration and other transaction flows," Quality & Quantity: International Journal of Methodology, Springer, vol. 15(2), pages 179-202, April.
    2. Lawrence Hubert & Frank Baker, 1979. "Evaluating the symmetry of a proximity matrix," Quality & Quantity: International Journal of Methodology, Springer, vol. 13(1), pages 77-84, February.
    3. Lawrence Hubert, 1973. "Min and max hierarchical clustering using asymmetric similarity measures," Psychometrika, Springer;The Psychometric Society, vol. 38(1), pages 63-72, March.
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    Citations

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    Cited by:

    1. Tolbert, Charles M. & Sizer, Molly, 1996. "U.S. Commuting Zones and Labor Market Areas: A 1990 Update," Staff Reports 278812, United States Department of Agriculture, Economic Research Service.
    2. Alex Hagen-Zanker & Ying Jin, 2011. "Adaptive zoning and its effectiveness in spatial economic activity simulation," ERSA conference papers ersa10p1036, European Regional Science Association.

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