Visual Multidimensional Geometry and Its Applications
2009, XXVI, 554 p.
Springer eBooks may be purchased by end-customers only and are sold without copy protection (DRM free). Instead, all eBooks include personalized watermarks. This means you can read the Springer eBooks across numerous devices such as Laptops, eReaders, and tablets.
You can pay for Springer eBooks with Visa, Mastercard, American Express or Paypal.
After the purchase you can directly download the eBook file or read it online in our Springer eBook Reader. Furthermore your eBook will be stored in your MySpringer account. So you can always re-download your eBooks.
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
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.
Content Level »Lower undergraduate
Keywords »Algebra - Computer Vision - Information Visualization - cognition - data mining - linear algebra - visualization
Foreword.- Preface.- Introduction.- Geometry Background.- The Plane with Parallel Coordinates.- Multidimensional Lines.- Hyperplanes and p-Flats RN.- Envelopes.- Curves.- Proximity of Lines, Planes, and Flats.- Hypersurfaces in RN.- Data Mining and Other Applications.- Recent Results.- Solutions to Selected Exercises.- Notation and List of Symbols.- Bibliography.- Index.