PCA and SOM make complex attribute sets easier to explore. By reducing dozens of attributes into clearer clusters, they help interpreters see channel shapes and reservoir variability that might otherwise be overlooked.LINKS Read the December 2025 special section - https://pubs.geoscienceworld.org/tle/issue/44/12 Seismic characterization with unsupervised machine learning applications for facies classification by Satinder Chopra and Kurt Marfurt - https://doi.org/10.1190/tle44120934.1ABOUT SEISMIC SOUNDOFFSeismic Soundoff showcases conversations addressing the challenges of energy, water, and climate. Produced by the Society of Exploration Geophysicists (SEG) and hosted by Andrew Geary of 51 features, these episodes celebrate and inspire the geophysicists of today and tomorrow. Three new episodes monthly. See the full archive at https://seg.org/resources/podcast/.