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Classification on aggregate data
I've been tasked with creating a model that can classify individual cases as either something to be flagged or not. However, the training data I have access to is only aggregate data, where each row ...
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KNN and K-means, very different but possible equivalency?
Why does the k-nearest neighbor algorithm and k-means clustering algorithm with $k=1$ act the same?