most citedAssessing the impact of dimensionality reduction on clustering performance - a systematic study

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cs.LG2026★ 1 cited

Assessing the impact of dimensionality reduction on clustering performance - a systematic study

Ousmane Assani Amate, Ousmane Assani-Amate, Mohammadreza Bakhtyari +4

Dimensionality reduction is a critical preprocessing step for clustering high-dimensional data, yet comprehensive evaluation of its impact across diverse methods and data types rem…