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Number of Clusters in a Dataset: A Regularized K-means Approach

cs.LG · 2025-05-29 · conditional · novelty 6.0

Under ideal spherical clusters, the additive penalty coefficient must satisfy N rho^2 / K < lambda < N L^2 / (2K), and a parameter-free multiplicative penalty naturally favors the true cluster count.

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  • Number of Clusters in a Dataset: A Regularized K-means Approach cs.LG · 2025-05-29 · conditional · none · ref 22

    Under ideal spherical clusters, the additive penalty coefficient must satisfy N rho^2 / K < lambda < N L^2 / (2K), and a parameter-free multiplicative penalty naturally favors the true cluster count.