Projecting "better than randomly": How to reduce the dimensionality of very large datasets in a way that outperforms random projections

no code implementations • 3 Jan 2019 • Michael Wojnowicz, Di Zhang, Glenn Chisholm, Xuan Zhao, Matt Wolff

However, the recent development of randomized principal component analysis (RPCA) has opened up the possibility of obtaining approximate principal components on very large datasets.

Dimensionality Reduction General Classification +1