How to make large self-organizing maps for nonvectorial data.
other · Level V
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- Record sourced from PubMed, PMID 12416685.
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Abstract
The self-organizing map (SOM) represents an open set of input samples by a topologically organized, finite set of models. In this paper, a new version of the SOM is used for the clustering, organization, and visualization of a large database of symbol sequences (viz. protein sequences). This method combines two principles: the batch computing version of the SOM, and computation of the generalized median of symbol strings.
Medical subject headings
- Neural Networks, Computer