A SOM combined with KNN for classification task
dc.contributor.author | Silva L.A. | |
dc.contributor.author | Del-Moral-Hernandez E. | |
dc.date.accessioned | 2024-03-13T01:10:21Z | |
dc.date.available | 2024-03-13T01:10:21Z | |
dc.date.issued | 2011 | |
dc.description.abstract | Classification is a common task that humans perform when making a decision. Techniques of Artificial Neural Networks (ANN) or statistics are used to help in an automatic classification. This work addresses a method based in Self-Organizing Maps ANN (SOM) and K-Nearest Neighbor (KNN) statistical classifier, called SOM-KNN, applied to digits recognition in car plates. While being much faster than more traditional methods, the proposed SOM-KNN keeps competitive classification rates with respect to them. The experiments here presented contrast SOM-KNN with individual classifiers, SOM and KNN, and the results are classification rates of 89.485.6, 84.235.9 and 91.035.1 percent, respectively. The equivalency between SOM-KNN and KNN recognition results are confirmed with ANOVA test, which shows a p-value of 0.27. © 2011 IEEE. | |
dc.description.firstpage | 2368 | |
dc.description.lastpage | 2373 | |
dc.identifier.doi | 10.1109/IJCNN.2011.6033525 | |
dc.identifier.uri | https://dspace.mackenzie.br/handle/10899/36936 | |
dc.relation.ispartof | Proceedings of the International Joint Conference on Neural Networks | |
dc.rights | Acesso Restrito | |
dc.title | A SOM combined with KNN for classification task | |
dc.type | Artigo de evento | |
local.scopus.citations | 16 | |
local.scopus.eid | 2-s2.0-80054768903 | |
local.scopus.subject | ANOVA test | |
local.scopus.subject | Artificial Neural Network | |
local.scopus.subject | Automatic classification | |
local.scopus.subject | Classification rates | |
local.scopus.subject | Classification tasks | |
local.scopus.subject | Individual classifiers | |
local.scopus.subject | K-nearest neighbors | |
local.scopus.subject | P-values | |
local.scopus.subject | Statistical classifier | |
local.scopus.updated | 2024-05-01 | |
local.scopus.url | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=80054768903&origin=inward |