![](bg7.png)
Based on test data on 20 people, it was success-
fully classified into 3 clusters, namely students in
class 1 with a trend of X values being in the do not
know the value, Y with a very ignorant value while
the Y value is in a value between not knowing and par-
tially understanding with the total 9 people. Students
in class 2 with the trend that the value of X is in the
very ignorant value, Y with a partial understanding
value while the Y value is in the partial understanding
value with a total of 5 people. Students are in class
3 with a trend with a value of X being between not
knowing and partially understanding, Y with a partial
understanding value while the Y value is at a very ig-
norant value with a total of 6 people with an accuracy
level of the f1 test score of 100%.
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Clustering Diagnostic Assessment of Students with the K-Means Algorithm Based on Talents and Interests
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