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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

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Latest update: 14 Nov 2024
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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.
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