Understanding TN, FP, FN, TP in Clustering

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.