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Prototype Generation Using Self-Organizing Maps for Informativeness-Based Classifier
The k nearest neighbor is one of the most important and simple procedures for data classification task. The kNN, as it is called, requires only two parameters: the number of k and a similarity measure. However, the algorithm has some weaknesses that make it impossible to be used in real problems. Si...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2017
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5547710/ https://www.ncbi.nlm.nih.gov/pubmed/28811818 http://dx.doi.org/10.1155/2017/4263064 |