Abstract:This paper focusses on southeast Gansu and its adjacent areas(N32°-36°, E102°-106°) from January 1, 2013, to November 1, 2021. We use the epicenter location data of 11 659 earthquakes in the earthquake catalogue, the K-means in the hard clustering method and the Gaussian mixture model GMM clustering method of the soft clustering method to cluster the spatial location of the original earthquake catalogue and the earthquake fine positioning catalogue. To determine the optimal cluster number, we use AIC and BIC model selection methods. Finally, we divide the original catalogue into 6 seismic clusters, and the fine positioning catalogue into 14 seismic clusters. The results show that the combination of fine positioning seismic catalogue and GMM clustering method can better find seismic clusters with different spatial distribution characteristics from seismic big data.
WANG Xiaojuan,ZHAO Liang,CAI Run et al. Cluster Analysis and Research on Earthquake Catalogue in Southeast Gansu and Adjacent Areas[J]. jgg, 2022, 42(11): 1128-1132.