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The analytical solution of the additive constant problem

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  • Francis Cailliez

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Suggested Citation

  • Francis Cailliez, 1983. "The analytical solution of the additive constant problem," Psychometrika, Springer;The Psychometric Society, vol. 48(2), pages 305-308, June.
    • Handle: RePEc:spr:psycho:v:48:y:1983:i:2:p:305-308
    DOI: 10.1007/BF02294026
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    Cited by:

    1. Jeffrey Vervloesem & Ernesto Marcheggiani & MD Abdul Mueed Choudhury & Bart Muys, 2022. "Effects of Photovoltaic Solar Farms on Microclimate and Vegetation Diversity," Sustainability, MDPI, vol. 14(12), pages 1-31, June.
    2. Cornelius Fritz & Göran Kauermann, 2022. "On the interplay of regional mobility, social connectedness and the spread of COVID‐19 in Germany," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 400-424, January.
    3. Ilaria Lucrezia Amerise & Agostino Tarsitano, 2012. "Weighting Distance Matrices Using Rank Correlations," Working Papers 201209, Università della Calabria, Dipartimento di Economia, Statistica e Finanza "Giovanni Anania" - DESF.
    4. Timmermans, Catherine & von Sachs, Rainer, 2013. "BAGIDIS: Statistically investigating curves with sharp local patterns using a new functional measure of dissimilarity," LIDAM Discussion Papers ISBA 2013031, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).
    5. Irène Gijbels & Marek Omelka, 2013. "Testing for Homogeneity of Multivariate Dispersions Using Dissimilarity Measures," Biometrics, The International Biometric Society, vol. 69(1), pages 137-145, March.
    6. Oscar Lao & Fan Liu & Andreas Wollstein & Manfred Kayser, 2014. "GAGA: A New Algorithm for Genomic Inference of Geographic Ancestry Reveals Fine Level Population Substructure in Europeans," PLOS Computational Biology, Public Library of Science, vol. 10(2), pages 1-11, February.
    7. J. Fernando Vera & Rodrigo Macías, 2021. "On the Behaviour of K-Means Clustering of a Dissimilarity Matrix by Means of Full Multidimensional Scaling," Psychometrika, Springer;The Psychometric Society, vol. 86(2), pages 489-513, June.
    8. Ricotta, Carlo & Szeidl, Laszlo, 2009. "Diversity partitioning of Rao’s quadratic entropy," Theoretical Population Biology, Elsevier, vol. 76(4), pages 299-302.
    9. Carlo Cavicchia & Maurizio Vichi & Giorgia Zaccaria, 2022. "Gaussian mixture model with an extended ultrametric covariance structure," 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. 16(2), pages 399-427, June.
    10. Panpan Yu & Qingna Li, 2018. "Ordinal Distance Metric Learning with MDS for Image Ranking," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(01), pages 1-19, February.
    11. Arbisser, Ilana M. & Rosenberg, Noah A., 2020. "FST and the triangle inequality for biallelic markers," Theoretical Population Biology, Elsevier, vol. 133(C), pages 117-129.
    12. Fionn Murtagh, 2009. "The Remarkable Simplicity of Very High Dimensional Data: Application of Model-Based Clustering," Journal of Classification, Springer;The Classification Society, vol. 26(3), pages 249-277, December.

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