Sábháilte in:
| Príomhchruthaitheoirí: | , , , |
|---|---|
| Formáid: | Recurso digital |
| Teanga: | Béarla |
| Foilsithe / Cruthaithe: |
Zenodo
2025
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| Ábhair: | |
| Rochtain ar líne: | https://doi.org/10.5281/zenodo.17575754 |
| Clibeanna: |
Cuir clib leis
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Clár na nÁbhar:
- <p>Supplementary Material for the article<br>Gabsatarov, Y.; Vladimirova, I.; Ignatyev, D.; Scheveva, N.<br><em>“Revealing Spatiotemporal Deformation Patterns through Time-Dependent Clustering of GNSS Data in the Japanese Islands”</em><br>submitted to <em>MDPI Machine Learning and Knowledge Extraction (MAKE)</em>.</p> <p>This archive contains figures and analysis outputs related to the clustering of Japanese GNSS (GEONET) data, including:</p> <ol> <li> <p>Results of clustering analysis of the steady-state velocity field (Figures S1–S5).</p> </li> <li> <p>Results of clustering analysis of regression-derived parameters (Figures S6–S10).</p> </li> <li> <p>Calculated plate motion velocities.</p> </li> </ol> <p>Data and figures include feature correlation heatmaps, PCA explained variance, cluster evaluation metrics, pairwise ARI heatmaps, and ARI-based stability analyses for different feature sets.</p>