Exploring High‐Dimensional Structure via Axis‐Aligned Decomposition of Linear Projections
Exploring High‐Dimensional Structure via Axis‐Aligned Decomposition of Linear Projections
Abstract Two‐dimensional embeddings remain the dominant approach to visualize high dimensional data. The choice of embeddings ranges from highly non‐linear ones, which can capture complex relationships but are difficult to interpret quantitatively, to axis‐aligned projections, which are easy to interpret but are limited to bivariate relationships. Linear project can be …