Regression by topological map: Application on real data

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Abstract

We address the problem of oceanographic data regression with constrainted Kohonen self-organizing maps. Using constrainted topological mapping algorithm on real data, we show that it is well suited to geographic needs. It appears as an elegant way to overcome uneven spatial sampling problems.

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Daigremont, P., De Lassus, H., Badran, F., & Thiria, S. (1996). Regression by topological map: Application on real data. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1112 LNCS, pp. 185–190). Springer Verlag. https://doi.org/10.1007/3-540-61510-5_34

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