In which of the following cases will K-means clustering fail to give good results?
1) Data points with outliers
2) Data points with different densities
3) Data points with nonconvex shapes
A)1 and 2
B)2 and 3
C)1 and 3
D)All of the above

Question

Quizplus · Accepted Answer

K-means clustering can fail in cases where the data contains outliers, has different densities, or has nonconvex shapes because it assumes clusters are convex and isotropic, and it uses the mean distance which can be heavily influenced by outliers.

In Which of the Following Cases Will K-Means Clustering Fail