New answers tagged clustering
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What clustering algorithms work best for datasets with only binary categorical features?
Any clustering algorithm should work -- the main issue is the similarity or distance metric that determines how similar (or different) two elements are. This is often something like Euclidean distance,...
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Accepted
What happens if all the features are correlated with each other before clustering?
Essentially, yes. One feature predicts to a reasonably high degree what the other features look like, so the additional features have limited discriminatory power. Obviously there is some effect, as ...
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How to handle list features in clustering?
You essentially want to have a numerical value to represent the similarity of the lists of two distinct objects. There are a number of metrics to deal with that, eg the Jaccard Index or Dice's ...
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