This application lets users cluster data stored on Geoscience ANALYST objects using the Scikit-Learn KMeans clustering algorithm. Leveraging Plotly visualization tools, users are able to assess the clustering results using histogram, box, scatter, inertia, and cross-correlation plots together with the 3D viewing efficiency of Geoscience ANALYST. This is a perfect tool to conduct meaningful Exploratory Data Analysis (EDA), generate rock classifications, or map alteration footprints.
- Cluster data on any support: points, voxets, surfaces, structural measurements, etc.
- Quickly assess data quality
- Data normalization
- Scalable distribution to change weights of features
- View results in Geoscience ANALYST and compare to other geoscientific data for your project
Available now https://geoapps.readthedocs.io/en/latest/content/apps/kmeans_clustering.html
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