PCA-based drift and shift quantification framework for multidimensional data

Author:

Goldenberg IgorORCID,Webb Geoffrey I.ORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Reference20 articles.

1. Abdi H (2007) The eigen-decomposition: eigenvalues and eigenvectors. Encycl Measurement Stat 304–308

2. Abdi H (2007) Singular value decomposition (SVD) and generalized singular value decomposition. Encycl Measurement Stat 907–912

3. Abdi H, Williams LJ (2010) Principal component analysis. Wiley Interdiscip Rev Comput Stat 2(4):433–459

4. Benavoli A, Corani G, Demšar J, Zaffalon M (2017) Time for a change: a tutorial for comparing multiple classifiers through bayesian analysis. J Mach Learn Res 18(1):2653–2688

5. Blythe DA, Von Bunau P, Meinecke FC, Muller KR (2012) Feature extraction for change-point detection using stationary subspace analysis. IEEE Trans Neural Netw Learn Syst 23(4):631–643

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