Visualizing the Output Space
Michael Christoph Thrun · 2018
Projection methods are a common approach to dimensionality reduction with the aim of transforming high-dimensional data into a low-dimensional space. For data visualization purposes, projections into two dimensions are considered here. However, when the output space is limited to two dimensions, the low-dimensional similarities cannot completely represent the high-dimensional distances, which can result in a misleading interpretation of the underlying structures.