  In this work, we introduce the problem of scenic routes among points in Rd.
The key development is the nature of the problem in terms of both defining the
concept of scenic points and scenic routes and then coming up with algorithms
that meet different criteria for the generated scenic routes. The scenic routes
problem provides a visual trajectory for a user to comprehend the layout of
high-dimensional points. The nature of this trajectory and the visual layout of
the points have applications in comprehending the results of machine learning
supervised and unsupervised learning techniques. We study the problem in 2D and
3D (with two color points) before exploring the issues in Rd. The red/blue
points in our examples could be to be in a class or not to be in a class. The
applications could include landscape design to adhere to the scenic beauty of
the artifacts on the ground. The generation of equally separated layouts for
designing composite hardware where interference could be an issue.
