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A Functional Density-Based Nonparametric Approach for Statistical Calibration.

, , , and . CIARP, volume 6419 of Lecture Notes in Computer Science, page 450-457. Springer, (2010)

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Which Dissimilarity Is to Be Used When Extracting Typologies in Sequence Analysis? A Comparative Study., , and . IWANN (1), volume 7902 of Lecture Notes in Computer Science, page 69-79. Springer, (2013)Interpretable sparse SIR for functional data., , and . Stat. Comput., 29 (2): 255-267 (2019)Theoretical and Applied Aspects of the Self-Organizing Maps., , , and . WSOM, volume 428 of Advances in Intelligent Systems and Computing, page 3-26. Springer, (2016)Multiple Kernel Self-Organizing Maps., , and . ESANN, (2013)On-line relational SOM for dissimilarity data, , and . CoRR, (2012)SOMbrero: An R Package for Numeric and Non-numeric Self-Organizing Maps., , , and . WSOM, volume 295 of Advances in Intelligent Systems and Computing, page 219-228. Springer, (2014)Sparse Online Self-Organizing Maps for Large Relational Data., and . WSOM, volume 428 of Advances in Intelligent Systems and Computing, page 73-82. Springer, (2016)Stochastic self-organizing map variants with the R package SOMbrero.. WSOM, page 104-110. IEEE, (2017)Data Analysis of Social Simulations Outputs - Interpreting the Dispersion of Variables., and . MABS, volume 9002 of Lecture Notes in Computer Science, page 133-150. Springer, (2014)A Functional Density-Based Nonparametric Approach for Statistical Calibration., , , and . CIARP, volume 6419 of Lecture Notes in Computer Science, page 450-457. Springer, (2010)