Interpret the TN,FP,FN,TP in the clustering questions clearly
In clustering, TN (True Negative) refers to the number of data points that are correctly identified as not belonging to any cluster. FP (False Positive) refers to the number of data points that are incorrectly identified as belonging to a cluster. FN (False Negative) refers to the number of data points that are incorrectly identified as not belonging to any cluster. TP (True Positive) refers to the number of data points that are correctly identified as belonging to a cluster.
In summary, TN and TP represent correct cluster assignments, while FP and FN represent incorrect cluster assignments.
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