Which clustering method assigns data points to the nearest cluster center and recalculates the center until convergence?
- Agglomerative
- DBSCAN
- Hierarchical
- K-Means
K-Means clustering is an iterative algorithm that assigns each data point to the nearest cluster center, recalculating these centers until they converge.
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