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In which of the following cases will K-Means clustering fail to give good results?

Data points with outliers

Data points with different densities

Data points with round shapes

Data points with non-convex shapes

Select the correct answer from below options:

A. 1 and 2

B. 2 and 3

C. 2 and 4

D. 1, 2 and 4

E. 1, 2, 3 and 4

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Answer: (D)

The K-Means clustering algorithm fails to give good results when the data contains outliers, the density spread of data points across the data space is different, and the data points follow non-convex shapes.

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