Solid Earth
Solid Earth
SE
Articles | Volume 13, issue 11
Articles | Volume 13, issue 11
https://doi.org/10.5194/se-13-1697-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/se-13-1697-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 11
Method article
 | 
09 Nov 2022
Method article |  | 09 Nov 2022

Clustering has a meaning: optimization of angular similarity to detect 3D geometric anomalies in geological terrains

Michał P. Michalak, Lesław Teper, Florian Wellmann, Jerzy Żaba, Krzysztof Gaidzik, Marcin Kostur, Yuriy P. Maystrenko, and Paulina Leonowicz

Viewed

Total article views: 1,665 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,295 315 55 1,665 58 38
  • HTML: 1,295
  • PDF: 315
  • XML: 55
  • Total: 1,665
  • BibTeX: 58
  • EndNote: 38
Views and downloads (calculated since 22 Jul 2022)
Cumulative views and downloads (calculated since 22 Jul 2022)

Viewed (geographical distribution)

Total article views: 1,665 (including HTML, PDF, and XML) Thereof 1,573 with geography defined and 92 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 05 Jan 2025
Download
Short summary
When characterizing geological/geophysical surfaces, various geometric attributes are calculated, such as dip angle (1D) or dip direction (2D). However, the boundaries between specific values may be subjective and without optimization significance, resulting from using default color palletes. This study proposes minimizing cosine distance among within-cluster observations to detect 3D anomalies. Our results suggest that the method holds promise for identification of megacylinders or megacones.
Read more