  In this paper, we explore the limitations of PCA as a dimension reduction
technique and study its extension, projection pursuit (PP), which is a broad
class of linear dimension reduction methods. We first discuss the relevant
concepts and theorems and then apply PCA and PP (with negative standardized
Shannon's entropy as the projection index) on single cell RNA sequencing data.
