Poor initialization of centroids in K-Means clustering may lead to __________, affecting the quality of the clustering.

  • Convergence to global maxima
  • Local minima
  • Noise
  • Overfitting
Poor initialization of centroids can lead the K-Means algorithm to converge to local minima, affecting the quality of the clustering. Local minima occur when the algorithm finds a suboptimal clustering solution.
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