Quick Check 24.3 – Data 100, Summer 2020

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K-means may perform poorly when applied to data containing elongated clusters (e.g. elliptical clusters). Why? Pick the best answer using the variant of K-means mentioned in lecture. *

K-means attempts to optimize inertia, and may not match the "intuitively" best result --- even if K-means finds the global optimum.

K-means can be thought of as a pair of optimizers, making it difficult to find the optimal elongated clusters.

K-means attempts to optimize distortion, and may not match the "intuitively" best result --- even if K-means finds the global optimum.

None of the above.

True or False: The K-means algorithm discussed in the previous part always finds the exact best centers and colors with the globally optimal distortion. *

True

False

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