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Sparse Online Self-Organizing Maps for Large Relational Data.

, и . WSOM, том 428 из Advances in Intelligent Systems and Computing, стр. 73-82. Springer, (2016)

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Guillaume Vialaneix

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