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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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How to optimize the result of K means

If you use ?kmeans in your R console you can identify different parameters that you can optimize in k-means algorithm. The best parameter is the starting values for the centroids. If you know any of t …
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