基于模糊聚类的玄武湖水质分析

In this paper, fuzzy c-means clustering is introduced particularly and is used in analyzing the water quality in recent years of Xuanwu Lake. Determined by F optimizing, the best classification results is found. In accordance with the best classification created after the optimization results, the cause of the lake water quality changes is investigated and analyzed, the result show that this method can be used in the water quality analyzing, further attested the clustering algorithm in the application of water quality analysis is reasonable.