Point out the wrong statement.
A) k-means clustering is a method of vector quantization
B) k-means clustering aims to partition n observations into k clusters
C) k-nearest neighbor is same as k-means
D) none of the mentioned
Correct Answer:
Verified
Q11: ''To anticipate the value that a random
Q12: If the distribution of values of the
Q13: The purpose of _ is to obtain
Q14: PCA is
A)Projection Combination Analysis
B)Principal Combination Analysis
C)Principal Component
Q15: Which of the following is required by
Q17: Which of the following clustering requires merging
Q18: Which of the following gave rise to
Q19: Which of the following is characteristic of
Q20: Which of the following information is not
Q21: Which of the following graph can be
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