Visual Exploration of High Dimensional Scalar Functions

An important goal of scientific data analysis is to understand the behavior of a system or process based on a sample of the system. In many instances it is possible to observe both input parameters and system outputs, and characterize the system as a high-dimensional function. Such data sets arise,...

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Bibliographic Details
Published in:	IEEE transactions on visualization and computer graphics Vol. 16; no. 6; pp. 1271 - 1280
Main Authors:	Gerber, S, Bremer, P, Pascucci, V, Whitaker, R
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.11.2010 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Approximation methods Brain - physiology Computer Graphics Computer Simulation Concrete Crystals Data Display Data Interpretation, Statistical Data visualization Geometry High-dimensional visualization Humans Kernel Magnetic Resonance Imaging - statistics & numerical data Manifolds Mathematical analysis Mathematical models Morse theory Morse-Smale complex Regression Representations Studies Visualization
ISSN:	1077-2626, 1941-0506
Online Access:	Get full text
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