Assessing the impact of dimensionality reduction on clustering performance — a systematic study
arXiv:2604.22099v2 Announce Type: replace
Abstract: Dimensionality reduction is a critical preprocessing step for clustering high-dimensional data, yet comprehensive evaluation of its impact across diverse methods and data types remains limited. In th…