The previous video went into depth about how supervised classification can be done in the Google Earth Engine, but we have not yet seen how to classify images when we do not have predetermined classes to detect. Again, many algorithms are available to solve this issue which will be explained in this video.

If you found this video useful, consider buying me a coffee at: https://www.buymeacoffee.com/programsam ☕

Previous video:    • Google Earth Engine 9: Explaining All...   (Explaining All Classifiers)
GEE docs: https://developers.google.com/earthe...

More indepth resources can be found here:
KMeans:    • StatQuest: Kmeans clustering  
Canopy clustering:    • Cluster Computing and MapReduce Lectu...  
XMeans: https://www.cs.cmu.edu/~dpelleg/downl...
KD Trees:    • KD tree algorithm: how it works