Outlier Detection Based on Multivariable Panel Data and K-Means Clustering for Dam Deformation Monitoring Data

Outlier Detection Based on Multivariable Panel Data and K-Means Clustering for Dam Deformation Monitoring Data

A dam is a super-structure widely used in water conservancy engineering fields, and its long-term safety is a focus of social concern. Deformation is a crucial evaluation index and comprehensive reflection of the structural state of dams, and thus there are many research papers on dam deformation da...

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Bibliographic Details
Main Authors:	Jintao Song, Shengfei Zhang, Fei Tong, Jie Yang, Zhiquan Zeng, Shuai Yuan
Format:	Article
Language:	English
Published:	Wiley 2021-01-01
Series:	Advances in Civil Engineering
Online Access:	http://dx.doi.org/10.1155/2021/3739551
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