| Literature DB >> 12416685 |
Teuvo Kohonen1, Panu Somervuo.
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.Mesh:
Year: 2002 PMID: 12416685 DOI: 10.1016/s0893-6080(02)00069-2
Source DB: PubMed Journal: Neural Netw ISSN: 0893-6080