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Results tagged with k-means
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user 220441
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
I am analyzing the data of abalone. My goal is to classify the data into three categories(premium, medium premium, and classic). Since it's an unlabeled dataset, so I utilized K means clustering to do …
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