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 clust...
Main Authors: | , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2015-11-01
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Series: | International Journal of Environmental Research and Public Health |
Subjects: | |
Online Access: | http://www.mdpi.com/1660-4601/12/11/14400 |