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2016 Jul 26
3
K MEANS clustering
Hello,
I've been working on the KMeans clustering algorithm recently and since the
past week, I have been stuck on a problem which I'm not able to find a
solution to.
Since we are representing documents as Tf-idf vectors, they are really
sparse vectors (a usual corpus can have around 5000 terms). So it gets
really difficult to represent these sparse vectors in a way that would be