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Sector-Mean: Deterministic Initialization of K-Means Centroids via Angular Sector Partitioning
K-Means is one of the most widely used clustering algorithms, but its susceptibility to initial centroid selection remains a primary bottleneck for its convergence speed and clustering accuracy. This paper proposes Sector-Mean Initialization, a deterministic initialization strategy with O(N) time co
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