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An Enhanced K-Means Algorithm for Water Quality Analysis of The Haihe River in China
The increase and the complexity of data caused by the uncertain environment is today’s reality. In order to identify water quality effectively and reliably, this paper presents a modified fast clustering algorithm for water quality analysis. The algorithm has adopted a varying weights K-means cluste...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4661655/ https://www.ncbi.nlm.nih.gov/pubmed/26569283 http://dx.doi.org/10.3390/ijerph121114400 |