Question: K - Means Drawbacks 0 / 1 point ( graded ) Which of the following are drawbacks of the K - means algorithm with Euclidean

K-Means Drawbacks
0/1 point (graded)
Which of the following are drawbacks of the K-means algorithm with Euclidean distance (as presented so far in
this lecture)? Select all those apply.
Does not scale well to large datasets
Manual choice of K
Not robust to outliers
Does not scale well with increasing number of dimensions
K - Means Drawbacks 0 / 1 point ( graded ) Which

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