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Document organization using Kohonen's algorithm
Institution:1. Library and Information Science Faculty, University of Extremadura, C/José Mar??a Alcaráz y, Alenda 1 (pasaje), 06011 Badajoz, Spain;2. Library and Information Science Faculty, University of Granada, Campus Cartuja, Granada, Spain
Abstract:The classification of documents from a bibliographic database is a task that is linked to processes of information retrieval based on partial matching. A method is described of vectorizing reference documents from LISA which permits their topological organization using Kohonen's algorithm. As an example a map is generated of 202 documents from LISA, and an analysis is made of the possibilities of this type of neural network with respect to the development of information retrieval systems based on graphical browsing.
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