A classifier system using smooth graph coloring
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| Авторы: | , , , , |
|---|---|
| Формат: | artículo original |
| Статус: | Versión publicada |
| Дата публикации: | 2017 |
| Описание: | Unsupervised classifiers allow clustering methods with less or no human intervention. Therefore it is desirable to group the set of items with less data processing. This paper proposes an unsupervised classifier system using the model of soft graph coloring. This method was tested with some classic instances in the literature and the results obtained were compared with classifications made with human intervention, yielding as good or better results than supervised classifiers, sometimes providing alternative classifications that considers additional information that humans did not considered. |
| Страна: | Portal de Revistas UCR |
| Институт: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| Язык: | Español |
| OAI Identifier: | oai:portal.ucr.ac.cr:article/27795 |
| Online-ссылка: | https://revistas.ucr.ac.cr/index.php/matematica/article/view/27795 |
| Access Level: | acceso abierto |
| Ключевое слово: | soft coloring unsupervised classification clustering optimization coloración suave clasificación no supervisada clasificación automática agrupación optimización |