Assessing the impact of dimensionality reduction on clustering performance — a systematic study
arXiv:2604.22099v1 Announce Type: new
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 this s…