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Note on ultrametric hierarchical clustering algorithms

Author

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  • Vladimir Batagelj

Abstract

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Suggested Citation

  • Vladimir Batagelj, 1981. "Note on ultrametric hierarchical clustering algorithms," Psychometrika, Springer;The Psychometric Society, vol. 46(3), pages 351-352, September.
  • Handle: RePEc:spr:psycho:v:46:y:1981:i:3:p:351-352
    DOI: 10.1007/BF02293743
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    File URL: http://hdl.handle.net/10.1007/BF02293743
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    Citations

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    Cited by:

    1. Werner Vach & Paul Degens, 1991. "A new approach to isotonic agglomerative hierarchical clustering," Journal of Classification, Springer;The Classification Society, vol. 8(2), pages 217-237, December.
    2. Akinori Okada & Hans-Hermann Bock & F. Murtagh & F. Rohlf & Wei-Chien Chang & Shizuhiko Nishisato & Robert Sokal & Carolyn Anderson & Frank Critchley & Frank Critchley & Robert Golden, 1989. "Book reviews," Journal of Classification, Springer;The Classification Society, vol. 6(1), pages 121-161, December.
    3. Anuška Ferligoj & Vladimir Batagelj, 1982. "Clustering with relational constraint," Psychometrika, Springer;The Psychometric Society, vol. 47(4), pages 413-426, December.
    4. William Day & Herbert Edelsbrunner, 1985. "Investigation of proportional link linkage clustering methods," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 239-254, December.
    5. William Day & Herbert Edelsbrunner, 1984. "Efficient algorithms for agglomerative hierarchical clustering methods," Journal of Classification, Springer;The Classification Society, vol. 1(1), pages 7-24, December.
    6. Takeuchi, Akinobu & Yadohisa, Hiroshi & Inada, Koichi, 2001. "Space distortion and monotone admissibility in agglomerative clustering," SFB 373 Discussion Papers 2001,78, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.

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