Can you suggest some ways in which the performance of a clustering algorithm can be measured when the labels are given?

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Anonymous · Accepted Answer

We can compare the predicted labels with the actually labels. If we are only
interested in a single cluster this becomes a binary classification problem. If
we are interested in all clusters, this becomes a multi class prediction
problem. In either case we can calculate accuracy, precision, recall and other
metrics

Can you suggest some ways in which the performance of a clustering algorithm can be measured when the labels are given?

Did you come across this question in an interview?

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