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    Machine Learning Approach for Sequence Clustering with Applications to Ground-Motion Selection 

    Source: Journal of Engineering Mechanics:;2020:;Volume ( 146 ):;issue: 006
    Author(s): Ruiyang Zhang; Jerome Hajjar; Hao Sun
    Publisher: ASCE
    Abstract: Clustering analysis of sequential data is of great interest and importance in many science and engineering areas thanks to the explosive growth of time-series data. Effective methods, especially for sequence clustering, ...
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    DSpace software copyright © 2002-2015  DuraSpace
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