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Self-Organizing map and Points of Interest

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dc.contributor.author AZZAG, Hanane
dc.contributor.author LEBBAH, Mustapha
dc.contributor.author LAVERGNE, Julien
dc.contributor.author ROGOVSCHI, Nicoleta
dc.date.accessioned 2024-01-11T11:04:13Z
dc.date.available 2024-01-11T11:04:13Z
dc.date.issued 2009
dc.identifier.citation AZZAG, Hanane et al. Self-Organizing map and Points of Interest. In: Microelectronics and Computer Science: proc. 6th International Conference, 1-3 Oct. 2009, Chişinău, Republica Moldova, vol. 1, 2009, pp. 268-271. ISBN 978-9975-45-045-4. ISBN 978-9975-45-122-2 (vol. 1). en_US
dc.identifier.isbn 978-9975-45-045-4
dc.identifier.isbn 978-9975-45-122-2
dc.identifier.uri http://repository.utm.md/handle/5014/25788
dc.description.abstract We propose in this paper a new manner to learn topographic clustering which uses points of interest. This new approach introduces in the learning phase a new concept of referent of interest. These referents are automatically detected during the learning phase or deducted from knowledge of the database. Referents of interest will have more active role in the topological map organization. At the end, we evaluate the performance of our new approach on several databases with different difficulties. The obtained results are encouraging and promising. en_US
dc.language.iso en en_US
dc.publisher Technical University of Moldova en_US
dc.relation.ispartof Proceeding of the 6th International Conference on "Microelectronics and Computer Science", oct.1-3, 2009, Chişinău, Moldova
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject points of interest en_US
dc.subject self-organizing maps en_US
dc.subject topographic clustering en_US
dc.title Self-Organizing map and Points of Interest en_US
dc.type Article en_US


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