Accession Number : ADA291717
Title : Visualization Methods for the Exploration of High Dimensional Data.
Descriptive Note : Final rept. 4 Feb 91-30 Jun 94,
Corporate Author : GEORGE MASON UNIV FAIRFAX VA CENTER FOR COMPUTATIONAL STATISTICS
Personal Author(s) : Wegman, Edward J.
PDF Url : ADA291717
Report Date : 16 FEB 1995
Pagination or Media Count : 10
Abstract : This project focused on the development of data analysis and statistical methodology which may be characterized by one or more of the properties that they are large in size, high in dimension, and nonhomogeneous. The major thrust is in visualization on of both point clouds and mathematical structures in high dimensions. The specific advances made under this project are three dimensional generalizations of the Andrews plot, the grand tour in k-dimensions, fast algorithms for the pseudo-Grand Tour and structural inference using ridge estimation. (AN)
Descriptors : *MATHEMATICAL MODELS, *ALGORITHMS, COMPUTATIONS, DATA MANAGEMENT, RANDOM VARIABLES, STATISTICAL INFERENCE, STATISTICAL DATA, PROBABILITY DENSITY FUNCTIONS, ESTIMATES, NONPARAMETRIC STATISTICS, REGRESSION ANALYSIS, THREE DIMENSIONAL, COORDINATES, INTERPOLATION, COMPUTER GRAPHICS, PLOTTING, MAPPING(TRANSFORMATIONS).
Subject Categories : Numerical Mathematics
Statistics and Probability
Distribution Statement : APPROVED FOR PUBLIC RELEASE