Hierarchical Clustering Analysis of Focal Mechanism Solutions, Taking the Haicheng Earthquake Sequence as an Example

The currently used methods for analyzing a number of focal mechanism solutions are often ineffective for large samples.With the aid of the basic concept of hierarchical clustering methods for pattern recognition and in combination with the expression of focal mechanism solutions themselves,the sum of the angle between P-axes and the angle between T-axes of 2 solutions is defined as a distance,and a software for hierarchical clustering analysis by the shortest distance method and longest distance method is compiled.The number of types in the clustering results can be determined in accordance with different requirements.For focal mechanism solutions of the same type,the average position of each stress axis can be calculated by the method of vector composition and thereby the spatial orientation of the average focal mechanism solution can be determined.In order to test the feasibility and reliability of the software,hierarchical clustering analyses are made for the focal mechanism solutions of 24 earthquak

Hierarchical Clustering Analysis of Focal Mechanism Solutions, Taking the Haicheng Earthquake Sequence as an Example