Multivariate Analytics Based on High-Dimensional Data: Concepts and Misconceptions
Darius M. Dziuda · Cambridge University Press eBooks · 2024
Chapter 2, while continuing with the concepts of importance to multivariate analysis of high-dimensional data, adds considerations related to the curse of dimensionality and descriptions of common misconceptions. Discussed is the fallacy of applying to high-dimensional data the same methods that were successfully used in low-dimensional settings. Explained are also misconceptions based on driving biomarker discovery studies by univariate and unsupervised approaches.