1. Akama, Y., Irie, K., Kawamura, A., Uwano, Y. (2010). VC dimensions of principal component analysis. Discrete and Computational Geometry, 44(3), 589–598.
2. Arabie, P., Hubert, L. (1994). Cluster Analysis in Marketing Research. In R. P. Bagozzi (Ed.), Advanced methods of marketing research (pp. 160–189). Oxford: Blackwell.
3. Chang, W. (1983). On using principal components before separating a mixture of two multivariate normal distributions. Applied Statistics, 32(3), 267–275.
4. De Soete, G., Carroll, J. D. (1994). $$K$$ K -means clustering in a low-dimensional Euclidean space. In E. Diday, Y. Lechevallier, M. Schader, P. Bertrand, & B. Burtschy (Eds.), New approaches in classification and data analysis (pp. 212–219). Berlin: Springer.
5. Dehardt, J. (1971). Generalizations of the Glivenko-Cantelli theorem. Annals of Mathematical Statistics, 42(6), 2050–2055.