What is the most common reason for a k-means clustering algorithm to returns a sub-optimal clustering of its input?
A. Non-negative values for the distance function
B. Input data set is too large
C. Non-normal distribution of the input data
D. Poor selection of the initial controls
Answer:C
What is the most common reason for a k-means clustering algorithm to returns a sub-optimal clustering of its input?
A. Non-negative values for the distance function B. Input data set is too large C. Non-normal distribution of the input data D. Poor selection of the initial controls