I'm familiar with kmeans to cluster data points, but not text.. So I have one column of words in cvs format, which I want to cluster those which have similar word or more, and then mapping those cluster to numbers as index, those index numbers needed to be added as a second column. I know there is scipy packahes and word2vec in python, but this is the first time for me dealing with clustering text.. Any idea on how to do this??

  • $\begingroup$ I think you have it. the pipeline is cvs -> words -> word2vec -> kmeans -> clusters -> Profit!! $\endgroup$ – Ray May 18 '16 at 18:07

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