Bibliography of Self-Organizing Map SOM) Papers: 1998-2001 Addendum

406 citations recorded by the source corpus.

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Self-organization and missing values in SOM and GTM (2015, methodology): “In practice, the SOM has proved to be a robust approach tested in thousands of different applications [5–7].”
Time Series Prediction with the Self-Organizing Map: A Review (2007, methodology): “Despite its simplicity, the SOM algorithm has been applied to a variety of complex problems [32, 42] and has become one of the most important ANN architectures.”
Dynamic self-organising map (2011, background): “…algorithms that depends on a time decreasing learning rate and/or neighbourhood function (SOM, NG, GNG) and, despite the huge amount of literature [12, 13] around self-organising maps and Kohonen-typed networks (more than 7000 works listed in [14]), there is is surprisingly and comparatively very…”
Smart cities in perspective – a comparative European study by means of self-organizing maps (2012, methodology): “For a bibliography of papers using the SOM algorithm, see Oja et al. (2003).”
Performance evaluation of the self‐organizing map for feature extraction (2006, methodology): “Thousands of SOM applications are found among various disciplines [Kaski et al., 1998; Oja et al., 2002], including climate and meteorology [Hewitson and Crane, 1994, 2002; Malmgren andWinter, 1999;Cavazos, 2000; Ambroise et al., 2000;Hsu et al., 2002; Hong et al., 2004, 2005] and biological…”