How can I calculate sensitivity and specificity for a given data set after clustering (data is labeled)?
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Hi,
I have a labeled data set, each data point represented by a vector of (x,y, label).
I want to claculate sensitivity and specificity after clustering. I attached a sample of the data set.
11.08896656 14.57772789 1
3.89601932 5.232698948 1
5.818664174 11.38813575 1
6.836786602 10.72070047 1
8.733492848 8.011364398 1
10.38458226 -21.94666753 2
9.188199574 -16.02884057 2
14.6964252 -14.29763491 2
-28.68182061 11.03900494 3
-31.50790544 13.54812571 3
-26.68598993 12.98878238 3
-27.50492988 13.37915216 3
-26.08960585 14.9192861 3
-26.51580637 17.63201417 3
-30.61630755 11.3418456 3
-30.6416569 -15.66278453 4
-28.68622808 -15.19506909 4
-34.61944619 -16.85232936 4
-29.02861844 -15.50339455 4
-25.6794323 -17.13173393 4
-31.78782313 -14.25939683 4
-26.24932795 -14.748888 4
What is the simplest way to calculate sensitivity and specificity? after performing fuzzy c-mean clustering and k-means clustering
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