Fine-tuning of the SOMkNN classifier
| dc.contributor.author | Silva L.A. | |
| dc.contributor.author | Kitani E.C. | |
| dc.contributor.author | Del-Moral-Hernandez E. | |
| dc.date.accessioned | 2024-03-13T01:03:09Z | |
| dc.date.available | 2024-03-13T01:03:09Z | |
| dc.date.issued | 2013 | |
| dc.description.abstract | Classification is an important data mining task used in decision-making processes. Techniques such as Artificial Neural Networks (ANN) and Statistics are used to help in an automatic classification. In a previous work, we proposed a method for classification problems based on Self-Organizing Maps ANN (SOM) and k Nearest Neighbor (kNN) statistical classifier. The SOMkNN classifier, as we call this combination, is much faster than the traditional kNN and it keeps equivalent rates results. We propose a fine-tuning for this classifier here, which consists of a neuron relocation of the SOM map. The experiments presented compare SOMkNN with and without fine-tuning. Experiments using 8 databases, 6 of which are available in the UCI repository, the fine-tuning results are an improvement classification rate in 7 databases and in the last one the result is the same. The results indicate a trend of classification rate improvement with the application of the fine tuning technique. The gain in rate is approximately 1.2% and experiments were performed in order to correlate the results. © 2013 IEEE. | |
| dc.identifier.doi | 10.1109/IJCNN.2013.6706972 | |
| dc.identifier.uri | https://dspace.mackenzie.br/handle/10899/36531 | |
| dc.relation.ispartof | Proceedings of the International Joint Conference on Neural Networks | |
| dc.rights | Acesso Restrito | |
| dc.title | Fine-tuning of the SOMkNN classifier | |
| dc.type | Artigo de evento | |
| local.scopus.citations | 2 | |
| local.scopus.eid | 2-s2.0-84893558148 | |
| local.scopus.subject | Automatic classification | |
| local.scopus.subject | Classification rates | |
| local.scopus.subject | Data mining tasks | |
| local.scopus.subject | Decision making process | |
| local.scopus.subject | K nearest neighbor (KNN) | |
| local.scopus.subject | Statistical classifier | |
| local.scopus.subject | UCI repository | |
| local.scopus.subject | Without fine-tuning | |
| local.scopus.updated | 2024-05-01 | |
| local.scopus.url | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84893558148&origin=inward |