基于改进K均值聚类算法的燃气泄露检测研究

2022-04-28 16:10:02 | 浏览次数:

zoޛ)j香۲JSι))vv3M'M7M}ӝ5i(4μi--Njfzj۫jXzX{Wv'j۫jXWNy+z+b歲('jw%ɩi.^(v^jFzj۫jXZ+zל*'ڶږju^rبg[jǝ{az)tj{-z`h)ǝY-+bjW%^ǧmvފ[(~^uZzaym-yn(}(bq颲ȨȠEazu^hz^zr[+azhv+bw)8^{^)֥.,-mk,yٞj-yb}unwۭMzq)*g]Rz'jبBwޭzҊ ڔr薈2jwH׫AjǝK+-zk!2Mu6z(6"http://www.wufanghuizhong.com/p/daxue/" target="_blank" class="keylink">大学, 2012.

[7] Qi chen Ma, Xiangfeng Luo, Yong Luo. Information Entropy Based the Stability Measure of User Behaviour Network in Microblog[C].  10th International Conference on Semantics, Knowledge and Grids (SKG), 2014: 67-74.

[8] Jinhua Xu, Hong Liu, Web user clustering analysis based on KMeans algorithm[C]. 2010 International Conference on Information NetworKing and Automation (ICINA), 2010: 6-9.

[9] 吴春旭, 一种基于信息熵与K均值迭代模型的模糊聚类算法[C]. 中国管理科学学术年会, 2008: 152-156.

[10] L. Y. Meng, Y. X. Li, W. C. Wang et al. Experimental study on leaK detection and location for gas pipeline based on acoustic method[J]. Journal of Loss Prevention in the Process Industries, 2012, 25(1): 90-102.

推荐访问: 泄露 算法 燃气 均值 改进