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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 tell whether segments from K Means clustering result are "successful" and will impact...

Background I'm a data analyst. The Business unit I'm assigned for needs to segment users based on power vs non-power users so they can target each segment with proper treatments. Goal Segment users …
Blaze Tama's user avatar