What is true about K-Mean Clustering? 1. K-means is extremely sensiti – McqOptions

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1.	What is true about K-Mean Clustering? 1. K-means is extremely sensitive to cluster center initializations 2. Bad initialization can lead to Poor convergence speed 3. Bad initialization can lead to bad overall clustering
A.	1 and 3
B.	1 and 2
C.	2 and 3
D.	1, 2 and 3
Answer» E.

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