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"Kmeans clustering in Text data"
After applying string tockenizer,stopword filter and tockenlength filter on text data after selecting "Binary occurrence" we are getting all words as numerical attributes and its binary values.My doubt is after selecting these numerical attributes only can we apply KMeans clustering.I tried this method using my data and got a meaningful cluster.But actually I dont know whether it is a good method for text data.More over comparing with KMedoids it consuming very less time.