Can you explain the impact of different centroid initialization methods on the K-Means clustering results?
- Alters convergence and final cluster formation
- Has no impact
- Increases accuracy but reduces speed
- Increases the number of clusters
Different initialization methods in K-Means can alter the convergence rate and final cluster formation. Poor initialization may lead to suboptimal clustering or slow convergence.
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