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Nonlinear projection with the isotop method

Onglets principaux

Lee, John Aldo [UCL] Verleysen, Michel [UCL]

Isotop is a new neural method for nonlinear projection of high-dimensional data. Isotop builds the mapping between the data space and a projection space by means of topology preservation. Actually, the topology of the data to be projected is approximated by the use of neighborhoods between the neural units. Isotop is provided with a piecewise linear interpolator for the projection of generalization data after learning. Experiments on artificial and real data sets show the advantages of Isotop.

Type de document Communication à un colloque (Conference Paper)
Type d'accès Accès restreint
Année de publication 2002
Langue Anglais
Conférence "12th International Conference on Artifical Neural Networks (ICANN 2002)", Madrid (Spain) (du 28/08/2002 au 30/08/2002)
Information sur le périodique "Lecture Notes in Computer Science" - Vol. 2415, p. 933-938 (2002)
Peer reviewed oui
issn 0302-9743
Document hôte J.R. Dorronsoro ; "Artificial neural networks"
Editeur Springer (Berlin)
Statut de la publication Publié
Affiliations UCL - FSA/ELEC - Département d'électricité
Liens
Référence bibliographique Lee, John Aldo ; Verleysen, Michel. Nonlinear projection with the isotop method.12th International Conference on Artifical Neural Networks (ICANN 2002) (Madrid (Spain), du 28/08/2002 au 30/08/2002). In: Lecture Notes in Computer Science, Vol. 2415, p. 933-938 (2002)In: J.R. Dorronsoro, Artificial neural networks, Springer : Berlin2002
Permalien http://hdl.handle.net/2078.1/61610