Q128
The K-means algorithm:
A.
requires the dimension of the feature space to be no bigger than the number of samples
B.
has the smallest value of the objective function when k = 1
C.
minimizes the within class variance for a given number of clusters
AnswerD.
converges to the global optimum if and only if the initial means are chosen as some of the samples themselves
Answer: Option C
Solution
Answer: Option C
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