CLUSTERING OF EARTHQUAKE RECORDS BY A HYBRID OPPOSITION-SWITCHING SEARCH

Various methods have been proposed for clustering, including k-means algorithm[1]. It is known as a commonly used and widely used technique. But because of the dependence of the result of this algorithm on the initial point, in the present study, its combination with the algorithm Opposition-Switching Search is presented. In this paper, the data matrix provides over 100 records of earthquakes on different types of soils, fault mechanisms and magnitudes. To form the matrix, various attributes such as seismic energy, peak movement rates, velocity and acceleration of strong ground motion, spectral intensity and also earthquake duration have been used. Then, clustering is performed using a new hybrid method and is compared with the traditional k-means. The results of several tests indicate an improvement in the evaluation indicators such as the profile index. In the present study, Silhouette Value Indicators have been selected in the objective function.

Keywords:

Clustering , Metaheuristic Algorithms , Opposition Switching Search , k-means