What are some common methods of initializing centroids in K-Means clustering?
- Data Transformation
- Normalization
- Principal Component Analysis
- Random Selection, K-Means++
Common methods for initializing centroids in K-Means include Random Selection and K-Means++. These methods can affect the convergence speed and quality of the final clusters.
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