How Is K-Means clustering performs on two attributes?
Lets start the discussion with an example. For example, we have 2 attributes;
First of all, randomly we will choose centroid values.
Then calculates the distance between each value of paper 1 and paper 2.
Next, Find the error rate.
Repeat this all process until the error rate remains consistent in at least two last iterations or clusters stops to change further.
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