If we project all 786 dimensional points from a data set on a plane using TSNE method, the pattern of the scatter plots is not linear, and neighboring points form clusters. However, if we project the same data set to a plane using PCA method. we have two Principal vectors(directions). The first one is the max variance vector, the second one the second-max variance vector. And we can see the points are in linear realtion roughly.