Principal Component Analysis (5 books)
PCA (3 books)
I. Jollife, "Principal Component Analysis", Springer-Verlag, 2002.
X. Kong, C. Hu, Z. Duan, "Principal Component Analysis Networks and Algorithms", Springer, 2017.
G. Nail, “Advances in Principal Component Analysis”, Springer, 2018.
RPCA (2 books)
T. Bouwmans, N. Aybat, E. Zahzah, Handbook on "Robust Low-Rank and Sparse Matrix Decomposition: Applications in Image and Video Processing", CRC Press, Taylor and Francis Group, May 2016. (More information) [Purchase]
Z. Lin, H. Zhang, “Low-Rank Models in Visual Analysis: Theories, Algorithms, and Applications”, ELSEVIER, June 2017. (more information) [Purchase]
Independent Component Analysis (1 book)
ICA
A. Hyvarinen, J. Karhunen, E. Oja, "Independent Component Analysis", Wiley-Interscience Publication, March 2001.