Parallel Coordinates

This book is about visualization, and systematically incorporating the fantastic human pattern recognition into the problem-solving process. Focusing on parallel coordinates, it contains numerous exercises with solutions, course projects and research directions.

Parallel coordinates has emerged as the leading methodology for multidimensional visualization. Starting from the geometrical foundations, here is a systematic and rigorous exposition of the methodology's mathematical and algorithmic components. Exercises range from the basics to advanced project topics and open research questions. This book provides the only text to build theory from the foundations of projective geometry, giving readers a deeper understanding of the material.

All contents of the CD ROM is included as Extras through Springer, saving the reader hours of typing. Access Extras here: http://extras.springer.com/2009/978-0-387-68628-8 and http://extras.springer.com/2009/978-0-387-56216-2 Offers readers an authoritative account from the developer of the theory Details applications to visual and automatic data mining, collision avoidance algorithms for air traffic control, geometric modeling and computer vision, decision support, information visualization Only text to build theory from the foundations of projective geometry, giving readers a deeper understanding of the material

Klappentext

This book is about visualization, systematically incorporating the fantastic human pattern recognition into the problem-solving process, and focusing on parallel coordinates. The barrier, imposed by our three-dimensional habitation and perceptual experience, has been breached by this innovative and versatile methodology. The accurate visualization of multidimensional problems and multivariate data unlocks insights into the role of dimensionality.
Beginning with an introductory chapter on geometry, the mathematical foundations are intuitively developed, interlaced with applications to data mining, information visualization, computer vision, geometric modeling, collision avoidance for air traffic and process-control. Many results appear for the first time. Multidimensional lines, planes, proximities, surfaces and their properties are unambiguously recognized (i.e. convexity viewed in any dimension) enabling powerful construction algorithms (for intersections, interior-points, linear-programming).
Key features of Parallel Coordinates:

• An easy-to-read self-contained chapter on data mining and information visualization
• Numerous exercises with solutions, from basic to advanced topics, course projects and research directions
• "Fast Track" markers throughout provide a quick grasp of essential material.

• Extensive bibliography, index, and a chapter containing a collection of recent results (i.e. visualizing large networks, complex-valued functions and more)
  Parallel Coordinates requires only an elementary knowledge of linear algebra. It is well-suited for self-study and as a textbook (or companion) for courses on information visualization, data mining, mathematics, statistics, computer science, engineering, finance, management, manufacturing, in scientific disciplines and even the arts.

  Inhalt
  Geometry Background.- ? FT-1 The Plane with Parallel Coordinates.- Multidimensional Lines.- Planes, p-Flats, and Hyperplanes.- ** Envelopes.- Curves.- Proximity of Lines, Planes, and Flats.- Hypersurfaces in ?N.- ? FT Data Mining and Other Applications.- Recent Results.- Solutions to Selected Exercises.