In which of the following cases will K-Means clustering fail to give g – McqOptions

MCQOPTIONS

1.	In which of the following cases will K-Means clustering fail to give good results?1. Data points with outliers2. Data points with different densities3. Data points with round shapes4. Data points with non-convex shapes
A.	1 and 2
B.	2 and 3
C.	2 and 4
D.	1, 2 and 4
Answer» E.

Discussion

No Comment Found

Related MCQs

In given image, P(H) is probability.
Even if there are no actual supervisors learning is also based on feedback provided by the environment
According to , it's a key success factor for the survival and evolution of all species.
overlearning causes due to an excessive .
It's possible to specify if the scaling process must include both mean and standard deviation using the parameters .
if there is only a discrete number of possible outcomes (called categories), the process becomes a .
Q25. Which of the following are advantages of stacking?1) More robust model2) better prediction3) Lower time of execution
can be adopted when it's necessary to categorize a large amount of data with a few complete examples or when there's the need to
Which of the following statements are true for a design matrix X Rn d with d > n? (The rows are n sample points and the columns represent d features.)
A feature F1 can take certain value: A, B, C, D, E, & F and represents grade of students from a college. Here feature type is