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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