Multidimensional Scaling: Theory and Applications

  1. Cuadras, C.M., Oller, J. Eigenanalysis and metric multidimensional scaling on hierarchical structures. Questió, 11, 37-58,1987.
  2. Cuadras, C.M., Fortiana, J. Continuous metric scaling and prediction . In: Multivariate Analysis: Future Directions 2. Elsevier, North-Holland, Amsterdam, pp.47-66, 1993.
  3. Cuadras, C.M., Fortiana, J. Ascertaining the underlying distribution of a data set. In:Selected Topics on Stochastic Modelling, R. Gutierrez and M. J. Valderrama, eds, World Scientific, Singapore, pp. 223-230, 1994.
  4. Cuadras, C.M., Fortiana, J. A continuous metric scaling solution for a random variable. Journal of Multivariate Analysis, 52(1), 1-14, 1995.
  5. Cuadras, C.M., Fortiana, J. , Oliva, F. Representation of statistical structures, classification and prediction using multidimensional scaling. In:From Data to Knowledge: Theoretical and Practical Aspects of Classification, Data Analysis and Knowledge Organization, W. Gaul and D. Pfeifer, eds. Springer Verlag, Berlin, pp20-31, 1995.
  6. Cuadras, C.M., Fortiana, J. Some uses of multidimensional scaling in Statistics. Proceedings of Statistics Day, The Center for Multivariate Analysis, Pennsylvania State University, Part 1, pp.1-23, 1995.
  7. Cuadras, C.M., Fortiana, J. Metric scaling graphical representation of Categorical Data. Proceedings of Statistics Day, The Center for Multivariate Analysis, Pennsylvania State University, Part 2, pp.1-27, 1995.
  8. Cuadras, C.M., Fortiana, J. Weighted continuous metric scaling. In:Multidimensional Statistical Analysis and Theory of Random Matrices, A.K. Gupta and V.L. Girko, eds., VSP, The Netherlands, pp. 27-40, 1996.
  9. Cuadras, C.M., Fortiana, J. Visualizing categorical data with related metric scaling. Visualization of Categorical Data, Ch. 25, J. Blasius and M. Greenacre, eds., Academic Press, pp. 365-376, 1998.
  10. Cuadras, C.M., Fortiana, J. and M. J. Greenacre. Continuous extensions of matrix formulations in Correspondence Analysis, with applications to the FGM family of distributions. In: Innovations in Multivariate Statistical Analysis, R.D.H. Heijmans, D.S.G. Pollock and A. Satorra eds., Kluwer Ac. Publ., 101-116, 1999.
  11. Arenas, C., Cuadras, C. M. Comparing two methods for joint representation of multivariate data. Communications in Statistics-Simul. and Comp., 33,  415-430, 2004.
  12. Cuadras, C. M., Cuadras, D., Greenacre, M. A comparison of different methods for representing categorical data.   Communications in Statistics-Simul.  and Comp., 35 (2), 447-459, 2006.
  13. Cuadras. C. M., Cuadras, D. A parametric approach to correspondence analysis. Linear Algebra and its Applications, 417, 64-74, 2006.
  14. Cuadras, C. M., Cuadras, D.  Partitioning the geometric variability in multivariate analysis and contingency tables. In: Classification and Multivariate Analysis for Complex Data Structures. (B. Fichet, D. Piccolo, R. Verde, M. Vichi, Eds.), Springer, Berlin, pp. 237-244, 2011.
  15. Valero, S., Salembier, P. Chanussot, J., Cuadras, C. M. Improved binary partition tree construction for hyperspectral images: application to object detection . IEEE International Geoscience and Remote  Sensing Symposium   (IGARSS), Book Series, pp. 2515-2518, 2011
  16. Cuadras, C. M., Valero, S., Cuadras, D., Salembier, P., Chanussot, J. Distance-based measures of association with applications in relating hyperspectral images Communications in Statistics, Theory-­ Meth., 41, 2342–2355, 2012.
  17. Cuadras, C. M. Nonlinear principal and canonical directions from continuous extensions of multidimensional scaling. Open Journal of Statistics, 4 (2), 132-149, 2014.
  18. Cuadras, C. M. A unified approach for the multivariate analysis of contingency tables. Open Journal of Statistics, 5, 223-232, 2015.
  19. Cuadras, C. M.  Visualization and Verbalization of Data (Book Review). Journal  of Classification, 32, 138-142, 2015.
  20. Cuadras, C. M., Salvo-Garrido, S. Comparing multiple correspondence analysis and related metric scaling Communications in Statistics-Computation and Simulation, DOI 10.1080/03610918.2019.1694949, 2019

Click HERE for a Representation of human chromosomes
obtained by Related Metric Scaling from 50 pictures.

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