Clustering spatio-functional data: A model based approach

Studies in Classification, Data Analysis, and Knowledge Organization

Volumn , Issue , 2010, Pages 167-175

  Romano, Elvira ^a   Balzanella, Antonio ^b   Verde, Rosanna ^b  

^a SECOND UNIVERSITY OF NAPLES   (Italy)

^b NONE

Author keywords

[No Author keywords available]

Indexed keywords

ENVIRONMENTAL SCIENCE; FUNCTIONAL COMPONENTS; FUNCTIONAL DATAS; FUNCTIONAL MODEL; MODEL BASED APPROACH; SPATIAL STATISTICS; VARIOGRAMS;

EID: 84855937018     PISSN: 14318814     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-642-10745-0_17     Document Type: Conference Paper

References (10)

1. Abraham, C., Corillon, P., Matnzer-Löber, E., & Molinari, N. (2005). Unsupervised curve clustering using B-splines. Scandinavian Journal of Statistics, 30, 581-595.
2. Blekas, K., Nikou, C., Galatsanos, N., & Tsekos, N. V. (2007). Curve clustering with spatial constraints for analysis of spatiotemporal data. In Proceedings of the 19th IEEE international Conference on Tools with Artificial intelligence (Vol. 1, pp. 529-535). October 29-31. ICTAI. IEEE Computer Society, Washington, DC.
3. Delicado, P., Giraldo, R., & Mateu, J. (2007). Geostatistics for functional data: An ordinary kriging approach. Technical Report, http://hdl.handle.net/2117/1099, Universitat Politecnica de Catalunya.
4. Delicado, P., Giraldo, R., Comas, C., & Mateu, J. (2009). Statistics for spatial functional data: some recent contributions. Environmetrics, 21(3-4), 224-239.
5. Diday, E. (1971). La Mehode des nues dynamiques. Review on Statistical Application, XXX(2), 19-34.
6. Heckman, N., & Zamar, R. (2000). Comparing the shapes of regression functions. Biometrika, 87, 135-144.
7. James, G., & Sugar, C. (2005). Clustering for sparsely sampled functional data. Journal of the American Statistical Association, 98, 397-408.
8. Ramsay, J. O. (2008). Fda problems that I like to talk about. Personal communication.
9. Ramsay, J. E., & Silverman, B. W. (2005). Functional data analysis (2nd ed.) Berlin, Heidelberg, New York: Springer.
10. Romano, E. (2006). Dynamical curves clustering with free knots spline estimation. PHD Thesis. University of Federico II, Naples.