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Miin-Shen Yang

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Open access Sep 2026

Sparse k-Means Clustering with Lasso-Based Feature Selection

Clustering high-dimensional data is challenging when irrelevant or weakly informative features obscure the underlying cluster structure. To address this issue, we propose two sparse k-means clustering algorithms, S-KM1 and S-KM2, that perform cluster estimation and feature selection by sparse feature weighting simultan...

Miin-Shen Yang, Shazia Parveen · 0 citations

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