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...