What is the primary goal of the K-Means Clustering algorithm?

  • All of the Above
  • Maximizing inter-cluster distance
  • Minimizing intra-cluster distance
  • Predicting new data points
The primary goal of K-Means is to minimize the intra-cluster distance, meaning the distance within the same cluster, to make the clusters as tight and well-separated as possible.
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