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I have implemented the k means clustering model using python , i would like to know whether my model is perfect or not , so that i want to know which performance metrics is used for clustering model to evaluate the clustering model .please suggest on this . Thanks in advance .

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MSE is typically used. Notice how it looks like average euclidean distance between each point and the cluster center. Subscript i refers to the mean of each cluster.

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There are also other methods, but MSE is most common. It depends what you are doing.

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