Nonlinear seismic site response classification using K-means clustering algorithm: Case study of the September 6, 2018 Mw6.6 Hokkaido Iburi-Tobu earthquake, Japan - Ji, Kun; Wen, Ruizhi; Ren, Yefei; Dhakal, Yadab P. (Soil dynamics and earthquake engineering (1984), 2020)
Keywords: 2018 Hokkaido Iburi-Tobu earthquake; Aftershocks; Algorithms; Artificial intelligence; Boreholes; Classification; Cluster analysis; Clustering; Earthquake engineering; Earthquakes; Frequency shift; Ground motion; Indicators; K-means clustering algorithm; Learning algorithms; Machine learning; Nonlinear response; Nonlinear site response; Nonlinear systems; Nonlinearity; Seismic activity; Seismic engineering; Seismic response; Spectra; Spectral ratio method; Vector quantization; Japan; K-means clustering algorithm; Spectral ratio method; Nonlinear site response; 2018 Hokkaido Iburi-Tobu earthquake