Published September 6, 2023
| Version v1
Journal article
Open
DATA DIMENSIONALITY REDUCTION ALGORITHMS FOR MACHINE LEARNING
Authors/Creators
- 1. Politecnico di Bari –DEI, via Re David 200 –70125 Bari -Italy
- 2. COVID Emergency Task Force, Giovanni XXIII Children Hospital, Policlinico di Bari, 70126 Bari-Italy
Description
The rise of machine learning yields remarkable outcomes across fields. Phrases like big data, AI, and cloud computing are becoming commonplace. Yet, data abundance doesn't assure success. Numerous works address data preprocessing for information discovery. This study assesses three techniques on unsupervised clustering, spotlighting SPQR's novel application. Findings stress preprocessing's data impact, urging caution against oversimplified datamining solutions