In my understanding, I thought PCA can be performed only for continuous features. But while trying to understand the difference between onehot encoding and label encoding ca
The following publication shows great and meaningful results when computing PCA on categorical variables treated as simplex vertices:
Niitsuma H., Okada T. (2005) Covariance and PCA for Categorical Variables. In: Ho T.B., Cheung D., Liu H. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2005. Lecture Notes in Computer Science, vol 3518. Springer, Berlin, Heidelberg
https://doi.org/10.1007/11430919_61
It is available via https://arxiv.org/abs/0711.4452 (including as a PDF).