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Article detail · 2022

Comparative analysis of the optimum cluster number determination algorithms in clustering GPS velocities

Journal

Geophysical Journal International

ISSN 0956-540X

YÖKSİS OpenAlex SJR Q1 Citations 13 Top 10% Percentile 95.5% FWCI 6.06
Year
2022
Type
article

Data source split

  • YÖKSİS YÖKSİS article record
  • YÖKSİS venue Geophysical Journal International
  • Catalog match (ISSN) Geophysical Journal International
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex · English

SUMMARY The Global Positioning System (GPS), although it has existed for only 30 years, is an important source for active tectonics, resulting in estimates of plate motions very close to geologic estimates over millions of years. GPS is also used for elastic block models to calculate slip rates for a better understanding of Earth’s active crustal deformation. GPS-derived velocity fields may be used as the basis for clustering analysis to create a preliminary definition of block geometry. In this study, we used published horizontal velocity fields to evaluate the effects of data dependences on determining the optimum number of clusters with algorithms. For this purpose, we used different variations of velocity fields in Turkey and tested four different algorithms that are Davies–Bouldin index, the elbow method, GAP statistics algorithm and the silhouette method. We also clustered velocity components with the k-means technique and compared the results with previous studies.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

13 citations

OpenAlex cited_by_count (cache / database)

Authors

  1. SEDA ÖZARPACI
  2. BATUHAN KILIÇ
  3. ALPAY ÖZDEMİR
  4. YALÇIN YILMAZ
  5. Michael Floyd
  6. ONUR CAN BAYRAK YILDIZ TEKNİK ÜNİVERSİTESİ