Google Earth Engine 10: Clustering and Explaining All Clusterers

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.

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Previous video: https://www.youtube.com/watch?v=D_KaouS3q20 (Explaining All Classifiers) GEE docs: https://developers.google.com/earth-engine/

More in-depth resources can be found here: K-Means: https://www.youtube.com/watch?v=4b5d3muPQmA Canopy clustering: https://www.youtube.com/watch?v=1ZDybXl212Q X-Means: https://www.cs.cmu.edu/~dpelleg/download/xmeans.pdf KD Trees: https://www.youtube.com/watch?v=TLxWtXEbtFE ... https://www.youtube.com/watch?v=4AV-EeGo_ko