Vishwanathan, SVN and Murty, Narasimha M (2000) Kohonen's SOM with cache. In: Pattern Recognition, 33 (11). pp. 1927-1929.
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Abstract
The Kohonen self-organizing map (SOM),is a topology-preserving map that maps data from higher dimensions onto a (typically) two-dimensional grid of lattice points [1]. The aim of self-organization is to generate a topology-preserving mapping, where the neighborhood relations in the input space are preserved as well as possible, in the neighborhood relations of the units of the map [2]. One of the most time consuming steps during the training of the SOM is the sub-problem of locating the winner node for a given sample. A winner node is the best matching unit for each input vector.
Item Type: | Journal Article |
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Publication: | Pattern Recognition |
Publisher: | Elsevier |
Additional Information: | Copyright of this article belongs to Elsevier. |
Department/Centre: | Division of Electrical Sciences > Computer Science & Automation |
Date Deposited: | 23 Jan 2007 |
Last Modified: | 19 Sep 2010 04:30 |
URI: | http://eprints.iisc.ac.in/id/eprint/7900 |
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