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Results tagged with k-means
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user 43473
k-means is a method to partition data into clusters by finding a specified number of means, k, s.t. when data are assigned to clusters w/ the nearest mean, the w/i cluster sum of squares is minimized
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Comparing k-means results to original data: how to interpret the resulting plots?
I basically agree with amoeba's comment but it doesn't offer much in the way of a solution.
What I would do is first drop q from the inputs of the clustering. Secondly, you should standardize your …
