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Expanding Self-Organizing Map for data visualization and cluster analysis

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Figure

Fig. 1. Two SOMs from 2-dimensional space to 1-dimension. The connected dots indicate a string of neurons, and other dots indicate data.
Fig. 2. A schematic view of two different learning rules. (a) The learning rule for the traditional SOM; (b) The learning rule for the ESOM
Fig. 3. Illustration of the three synthetic data sets, Data Set 1 (upper), Data Set 2 (middle) and Data Set 3 (lower).
Fig. 4 illustrates the quantization and the topological errors during a typical run on the first data set of both algorithms
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