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Which of the following scenarios is K-means clustering NOT suitable for?
Which of the following scenarios is K-means clustering NOT suitable for?
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Practice Questions
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Q1
Which of the following scenarios is K-means clustering NOT suitable for?
When clusters are spherical and evenly sized
When the number of clusters is known
When clusters have varying densities
When outliers are present in the data
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K-means is not suitable for clusters with varying densities, as it assumes clusters are spherical and of similar size.
Questions & Step-by-step Solutions
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Q: Which of the following scenarios is K-means clustering NOT suitable for?
Solution:
K-means is not suitable for clusters with varying densities, as it assumes clusters are spherical and of similar size.
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