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DS-200 · Question #61
DS-200 Question #61: Real Exam Question with Answer & Explanation
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Question
What is the most common reason for a k-means clustering algorithm to returns a sub-optimal clustering of its input?
Options
- ANon-negative values for the distance function
- BInput data set is too large
- CNon-normal distribution of the input data
- DPoor selection of the initial controls
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