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Exploratory data analysis and clustering of multivariate spatial hydrogeological data by means of GEO3DSOM, a variant of Kohonen's Self Organizing Map

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Academic year: 2020

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Figure

Fig. 1. SOM-algorithm(a) Initialization reference vectors of the units(b) Calculation of Euclidean distance between input vector and ref-erence vectors of the units(c) Assignment of input vector to its BMU and update of referencevectors of the units within neighborhood N(t).
Fig. 2. Theoretical dataset.
Fig. 3. U-matrix (left) and component planes (right) of the standard SOM-analysis of the theoretical data set.
Table 2. Parameters of SOM and GEO3DSOM-analysis.
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