You have implemented K-Means clustering but are getting inconsistent results. What could be the reason related to centroid initialization?

  • Centroids initialized with zero values
  • Centroids too close to each other
  • Random initialization leading to different results
  • Too many centroids
Random initialization of centroids in K-Means can lead to inconsistent results across different runs, as the initial positioning of centroids can affect the final cluster formation.
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