Kohonen's self-organizing maps with a number of distinguishing features:
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An efficient, single threaded, stochastic training algorithm inspired by ideas from tensor algebra. No special accelerator hardware required.
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Automatic centroid detection and visualization using starbursts.
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Two models of the data: (a) a self organizing map model, (b) a centroid based clustering model.
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A number of easily accessible quality metrics for the self organizing map and the centroid based cluster model.
For an example usage case check here.
For the Popsom description as part of CRAN check here.