NMF-based ensemble clustering for GNSS velocity field: tectonic insights

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Özarpacı S., Kılıç B.

6th Intercontinental Geoinformation Days (IGD), Baku, Azerbaijan, 13 - 14 June 2023, vol.6, pp.207-210

  • Publication Type: Conference Paper / Full Text
  • Volume: 6
  • City: Baku
  • Country: Azerbaijan
  • Page Numbers: pp.207-210
  • Yıldız Technical University Affiliated: Yes


Block modeling is a frequently employed technique to yield the block motions such as block rotations and internal strains as well as to estimate fault slip rates via GNSS velocity data. The accuracy of the modeling outcomes heavily relies on the precise determination of the block boundaries. Typically, surface traces of mapped faults, seismological data, and/or GNSS velocity fields are utilized for this purpose. Nonetheless, the identification of suitable and accurate block boundaries for the velocity field is subject to interpretation and subjectivity. One method that can be used to determine block boundaries is the clustering method. Clustering analysis assigns data to similar groups based on similarities and differences in the data subject to clustering. Since the 2000s, this method has been used in the clustering of GNSS velocities and helps to determine block boundaries before block modeling. In this study, we utilized the Non-negative Matrix Factorization (NMF) method to cluster the current GNSS horizontal velocity field of Türkiye, and we compared the results with the literature. First, we clustered velocities from k = 2 to 9 using five distinct single clustering methods to determine the block boundaries. Then, we used the optimum number k = 5 to cluster the data using NMF-based ensemble clustering.