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Probabilistic models in cluster analysis

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  • Bock, Hans H.

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  • Bock, Hans H., 1996. "Probabilistic models in cluster analysis," Computational Statistics & Data Analysis, Elsevier, vol. 23(1), pages 5-28, November.
  • Handle: RePEc:eee:csdana:v:23:y:1996:i:1:p:5-28
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    References listed on IDEAS

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    1. Bhattacharya, Rabi N. & Ghosh, Jayanta K., 1992. "A class of U-statistics and asymptotic normality of the number of k-clusters," Journal of Multivariate Analysis, Elsevier, vol. 43(2), pages 300-330, November.
    2. Adolfo Quiroz, 1989. "Fast random generation of binary, t-ary and other types of trees," Journal of Classification, Springer;The Classification Society, vol. 6(1), pages 223-231, December.
    3. James Cavender & Joseph Felsenstein, 1987. "Invariants of phylogenies in a simple case with discrete states," Journal of Classification, Springer;The Classification Society, vol. 4(1), pages 57-71, March.
    4. Michael Windham, 1987. "Parameter modification for clustering criteria," Journal of Classification, Springer;The Classification Society, vol. 4(2), pages 191-214, September.
    5. Michael Steel & Michael Hendy & David Penny, 1992. "Significance of the length of the shortest tree," Journal of Classification, Springer;The Classification Society, vol. 9(1), pages 71-90, January.
    6. Edward Brown & William Day, 1984. "A computationally efficient approximation to the nearest neighbor interchange metric," Journal of Classification, Springer;The Classification Society, vol. 1(1), pages 93-124, December.
    7. Geert Soete, 1984. "Ultrametric tree representations of incomplete dissimilarity data," Journal of Classification, Springer;The Classification Society, vol. 1(1), pages 235-242, December.
    8. George Furnas, 1984. "The generation of random, binary unordered trees," Journal of Classification, Springer;The Classification Society, vol. 1(1), pages 187-233, December.
    9. David Banks & Kathleen Carley, 1994. "Metric inference for social networks," Journal of Classification, Springer;The Classification Society, vol. 11(1), pages 121-149, March.
    10. H. Bock, 1985. "On some significance tests in cluster analysis," Journal of Classification, Springer;The Classification Society, vol. 2(1), pages 77-108, December.
    11. François-Joseph Lapointe & Pierre Legendre, 1991. "The generation of random ultrametric matrices representing dendrograms," Journal of Classification, Springer;The Classification Society, vol. 8(2), pages 177-200, December.
    12. Gregory Rozál & J. Hartigan, 1994. "The MAP test for multimodality," Journal of Classification, Springer;The Classification Society, vol. 11(1), pages 5-36, March.
    13. Furman, W. David & Lindsay, Bruce G., 1994. "Testing for the number of components in a mixture of normal distributions using moment estimators," Computational Statistics & Data Analysis, Elsevier, vol. 17(5), pages 473-492, June.
    14. N. Sriram & Scott Lewis, 1993. "Constructing optimal ultrametrics," Journal of Classification, Springer;The Classification Society, vol. 10(2), pages 241-268, December.
    15. Van Cutsem, Bernard, 1996. "Combinatorial structures and structures for classification," Computational Statistics & Data Analysis, Elsevier, vol. 23(1), pages 169-188, November.
    16. M. Dale & J. Moon, 1988. "Statistical tests on two characteristics of the shapes of cluster diagrams," Journal of Classification, Springer;The Classification Society, vol. 5(1), pages 21-38, March.
    17. 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;The Classification Society, vol. 4(2), pages 155-173, September.
    18. Gilles Celeux & Gérard Govaert, 1991. "Clustering criteria for discrete data and latent class models," Journal of Classification, Springer;The Classification Society, vol. 8(2), pages 157-176, December.
    19. J. Hartigan & Surya Mohanty, 1992. "The runt test for multimodality," Journal of Classification, Springer;The Classification Society, vol. 9(1), pages 63-70, January.
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    Cited by:

    1. Schepers, Jan & van Mechelen, Iven & Ceulemans, Eva, 2006. "Three-mode partitioning," Computational Statistics & Data Analysis, Elsevier, vol. 51(3), pages 1623-1642, December.
    2. Diana, Marco & Pronello, Cristina, 2010. "Traveler segmentation strategy with nominal variables through correspondence analysis," Transport Policy, Elsevier, vol. 17(3), pages 183-190, May.
    3. Jan Schepers & Hans-Hermann Bock & Iven Mechelen, 2017. "Maximal Interaction Two-Mode Clustering," Journal of Classification, Springer;The Classification Society, vol. 34(1), pages 49-75, April.
    4. Fetene B. Tekle & Dereje W. Gudicha & Jeroen K. Vermunt, 2016. "Power analysis for the bootstrap likelihood ratio test for the number of classes in latent class models," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 10(2), pages 209-224, June.
    5. Luis García-Escudero & Alfonso Gordaliza & Carlos Matrán & Agustín Mayo-Iscar, 2010. "A review of robust clustering methods," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 4(2), pages 89-109, September.
    6. Bachmann, Sascha, 2016. "Concentration for Poisson functionals: Component counts in random geometric graphs," Stochastic Processes and their Applications, Elsevier, vol. 126(5), pages 1306-1330.
    7. Jukka Corander & Mats Gyllenberg & Timo Koski, 2009. "Bayesian unsupervised classification framework based on stochastic partitions of data and a parallel search strategy," Advances in Data Analysis and Classification, Springer;German Classification Society - Gesellschaft für Klassifikation (GfKl);Japanese Classification Society (JCS);Classification and Data Analysis Group of the Italian Statistical Society (CLADAG);International Federation of Classification Societies (IFCS), vol. 3(1), pages 3-24, June.
    8. Weiß, Christian H. & Göb, Rainer, 2008. "Discovering patterns in categorical time series using IFS," Computational Statistics & Data Analysis, Elsevier, vol. 52(9), pages 4369-4379, May.
    9. Bouveyron, C. & Girard, S. & Schmid, C., 2007. "High-dimensional data clustering," Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 502-519, September.

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