Landslide-Induced Seismic Signal Clustering With Outlier Removal
Author:
Affiliation:
1. Artificial Intelligence Research Institute, China University of Mining and Technology, Xuzhou, China
2. School of Software Engineering, Tongji University, Shanghai, China
Funder
Shanghai Municipal Science and Technology Major Project
Natural Science Foundation of Shanghai
Fundamental Research Funds for the Central Universities and National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/10034981/10294297.pdf?arnumber=10294297
Reference19 articles.
1. Cluster ensembles—A knowledge reuse framework for combining multiple partitions;strehl;J Mach Learn Res,2002
2. Hierarchical Exploration of Continuous Seismograms With Unsupervised Learning
3. Clustering With Outlier Removal
4. k-means–: A unified approach to clustering and outlier detection
5. An Unsupervised Machine‐Learning Approach to Understanding Seismicity at an Alpine Glacier
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