Citation: Data Dimensionality Reduction Algorithms for Machine Learning Marina Popolizio, Alberto Amato, Rita Dario, Vincenzo Di Lecce 3713-3715 - International Journal of Mathematics And Computer Research - DOI: https://doi.org/10.47191/ijmcr/v11i9.02
Abstract: 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.
Keyword: data analysis; PCA; SPQR; SVD; FCM; Clustering Silhouette