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Kohonen's SOM with cache

Vishwanathan, SVN and Murty, Narasimha M (2000) Kohonen's SOM with cache. In: Pattern Recognition, 33 (11). pp. 1927-1929.

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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
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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