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Unsupervised Learning
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Clustering
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K-means
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415.
K-means Objective
easy
What does K-means minimize as its objective function?
A
The total between-cluster sum of squared distances from each centroid to the global mean
B
The maximum distance from any point to its nearest centroid across all clusters
C
The variance of the cluster sizes weighted by the number of samples in each cluster
D
The total within-cluster sum of squared distances from each point to its assigned centroid
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