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Training algorithm – Parallel Batch SOM with sparse binary matrices
D - total number of MeSH categories (=29,917–; Da - number of MeSH categories annotating an individual article; N - number of articles (=33,375,866); M - number of nodes (350x350=122,500); –(e) - width of the neighborhood (which changes over training epochs according to the formula 175/(1.7)epoch)
