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Results tagged with k-means
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user 80920
k-means is a family of cluster analysis methods in which you specify the number of clusters you expect. This is as opposed to hierarchical cluster analysis methods.
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What kind of clustering would work better on such data? Would k-means work on such data?
It comes down to experimentation and two things:
The total observations on the dataset
Do you know how many categories?
Sample size
[<20] "Brich" is good on a small scale.
[20,10k) Minibatch k-mean …
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