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An automatic classification and robust segmentation procedure of spatial objects


  • Fabio Crosilla


  • Domenico Visintini
  • Francesco Sepic


No abstract is available for this item.

Suggested Citation

  • Fabio Crosilla & Domenico Visintini & Francesco Sepic, 2007. "An automatic classification and robust segmentation procedure of spatial objects," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 16(1), pages 169-169, June.
  • Handle: RePEc:spr:stmapp:v:16:y:2007:i:1:p:169-169
    DOI: 10.1007/s10260-007-0053-9

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    References listed on IDEAS

    1. Wenceslao González‐Manteiga & Rosa M. Crujeiras & Ying Sun & Marc G. Genton, 2012. "Adjusted functional boxplots for spatio‐temporal data visualization and outlier detection," Environmetrics, John Wiley & Sons, Ltd., vol. 23(1), pages 54-64, February.
    2. Sara López-Pintado & Ying Sun & Juan Lin & Marc Genton, 2014. "Simplicial band depth for multivariate functional data," 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. 8(3), pages 321-338, September.
    3. Gerda Claeskens & Mia Hubert & Leen Slaets & Kaveh Vakili, 2014. "Multivariate Functional Halfspace Depth," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 109(505), pages 411-423, March.
    4. López-Pintado, Sara & Romo, Juan, 2009. "On the Concept of Depth for Functional Data," Journal of the American Statistical Association, American Statistical Association, vol. 104(486), pages 718-734.
    5. Ricardo Fraiman & Graciela Muniz, 2001. "Trimmed means for functional data," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 10(2), pages 419-440, December.
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