| DOI | Trouver le DOI : https://doi.org/10.1109/NAFIPS.2009.5156396 |
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| Auteur | Rechercher : Pizzi, Nick J.1; Rechercher : Pedrycz, Witold |
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| Affiliation | - Conseil national de recherches du Canada. Institut du biodiagnostic du CNRC
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| Format | Texte, Article |
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| Conférence | NAFIPS 2009 - 2009 Annual Meeting of the North American Fuzzy Information Processing Society, June 14-17, 2009, Cincinnati, OH, USA |
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| Résumé | While many techniques exist to classify data possessing straightforward characteristics, they tend to fail when dealing with the ldquocurse of dimensionalityrdquo. This condition, in which the ratio of features to samples is very large, is prevalent in many complex, voluminous biomedical datasets acquired using current spectroscopic modalities. We present a novel classification method using an adaptive network of fuzzy logic connectives to combine class boundaries generated by sets of linear discriminant functions. We empirically demonstrate the effectiveness of this method using a benchmark linear discriminant analysis approach with feature averaging. |
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| Date de publication | 2009-07-06 |
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| Maison d’édition | IEEE |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Numéro NPARC | 23004417 |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | 9796353e-7975-407e-a73f-d6f842f69fc9 |
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| Enregistrement créé | 2018-10-31 |
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| Enregistrement modifié | 2020-04-16 |
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