Overview
Multidimensional perception is limited by our experience within our
three-dimensional environment. This course begins with a short
literature review of the mathematical foundations of parallel
coordinates for visualization of multidimensional geometry. When
these coordinates are interlaced with a variety of applications,
visualization and recognition of multidimensional relations from
their patterns are enabled, and this methodology can be applied to
multivariate problems.
Prerequisites
This is a self-contained course for beginners. Mathematical
sophistication, familiarity with computer graphics and interest in
multidimensional (multivariate) problems are helpful but not
necessary.
Topics
Visualization of multidimensional objects without loss of
information. Selected applications to visual and automatic data
mining (financial, process control, biomedical, military, and other
examples with hundreds of variables). Collision-avoidance
Algorithms. Computer vision. Non-linear models. Decision-support
Systems with occasional numerological anecdotes and
palindromic digressions.
Course #04 Notes (PDF, 1.5MB) |