
I have a performance evaluation on hadoop,NAME_1 and spark using clustering algorithms like k-means and k-medoids. For the dataset, i tried to find some datasets suitable for that but i couldn't find any since i had to modify my code accordingly for that. Therefore, i have generated a dataset with x,y points and those are the points to be clustered. I want the same situation described in a techincal manner and also giving more suitable reasons for chosing my own dataset rather than some existing one In your entire response, the letter p should appear less than 5.
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