Fast adaptive neighbors clustering via embedded clustering
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.02.087
Abstract: Abstract Recently, spectral clustering (SC) has been gaining more and more attention due to its excellent performance in unsupervised learning. However, the computational complexity of the SC is high. Also, the adjacency graph matrix of… read more here.
Keywords: graph embedded; embedded data; fast adaptive; raw data ... See more keywords
Cluster Analysis of Slope Hazard Seismic Recordings Based Upon Unsupervised Deep Embedded Clustering
Sign Up to like & getrecommendations! Published in 2023 at "Seismological Research Letters"
DOI: 10.1785/0220230011
Abstract: Slope disasters, such as landslides and rockfalls, can cause significant safety issues for land and road use in many countries. Therefore, it is important to have effective monitoring and early warning systems in place. Although… read more here.
Keywords: seismic recordings; slope; deep embedded; cluster analysis ... See more keywords