scholarly journals Spectral clustering ensemble model based on distance decision

2018 ◽  
Vol 54 (13) ◽  
pp. 823-825 ◽  
Author(s):  
Bowen Fei ◽  
Yunfei Qiu ◽  
Daqian Liu
Water ◽  
2019 ◽  
Vol 12 (1) ◽  
pp. 69 ◽  
Author(s):  
Qun Zhao ◽  
Yuelong Zhu ◽  
Dingsheng Wan ◽  
Yufeng Yu ◽  
Yuqing Lu

Similarity analysis of small- and medium-sized watersheds mainly depends on manual work, and there is no complete automated analysis method. In order to solve this problem, we propose a similarity analysis method based on clustering ensemble model. First, the iterative clustering ensemble construction algorithm with weighted random sampling (WRS-CCE) is proposed to get great clustering collectives. Then, we combine spectral clustering with the fuzzy C-means method to design a consensus function for small- and medium-sized watershed data sets. Finally, the similarity analysis of small- and medium-sized watersheds is carried out according to the clustering results. Experiments show that the proposed clustering ensemble model can effectively find more potential similar watersheds and can output the similarity of these watersheds.


2008 ◽  
Vol 46 (7) ◽  
pp. 2126-2136 ◽  
Author(s):  
Xiangrong Zhang ◽  
Licheng Jiao ◽  
Fang Liu ◽  
Liefeng Bo ◽  
Maoguo Gong

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