【摘要】 为提高地震预测精度,提出并建立了基于软距离计算的聚类方法。给出了基于软距离聚类过程、软距离计算方法以及具体的基于软距离计算的聚类算法。以现实的强震样本点作为聚类数据源,采用该聚类方法以及其他传统聚类方法对该样本数据进行聚类分析。分析结果表明,采用该聚类方法获得的聚类中心点更接近地壳应力场演变的客观真实情况,该聚类分析方法为预测地震的断层带下次发生强震的精确计算提供了很好的计算依据。更多还原

【Abstract】 This paper proposed a new clustering method based on soft distance calculation.Gave the clustering process based on soft distance calculation,calculation method for soft distance and the specific clustering algorithm based on soft distance.For the reality of the earthquake cluster as a data source,to use this clustering method and other traditional clustering methods to cluster analysis for the same data source,analysis results show that the clustering method obtains cluster center with the earth stress field evolution have the same center,which has objective truth.The cluster analysis method for the earthquake fault zone in the accurate calculation of the next strong earthquake provides a good basis for the calculation.更多还原