I'm wondering why before clustering the global
Landsat-7 image in this tutorial, the authors first trained the clusterer on a subset region around Egypt?
Since the Kmean algorithm is supposed to be unsupervised, I though there was no need to train it beforehand.
The line of code I'm puzzled about is this one:
var clusterer = ee.Clusterer.wekaKMeans(15).train(training);
train() method above the equivalent of the method
fit() in Scikit-learn?