甘东南及邻近地区地震目录的聚类分析

利用2013-01-01~2021-11-01期间甘肃甘东南及邻近地区（32°~36°N，102°~106°E）地震目录中的11 659次地震震中位置数据，使用硬聚类方法中的K-means和软聚类方法高斯混合模型GMM聚类方法对地震原始目录以及地震精定位目录的空间位置进行聚类分析。为确定最佳聚类数，使用AIC和BIC模型选择法，最终将原始目录和精定位目录分别聚类成6个和14个地震群。结果显示，精定位地震目录和GMM聚类方法结合可以更好地从地震大数据中找到具有不同空间分布特征的地震群。

Cluster Analysis and Research on Earthquake Catalogue in Southeast Gansu and Adjacent Areas

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.