Visual Empirical Region of Influence Pattern Recognition Tool for Leave-One-Out Data Analysis

摘要

In previous research at Sandia National Laboratories new pattern recognition (PR) algorithms based on a human visual perception model were developed. We named these algorithms Visual Empirical Region of Influence (VERI) algorithms. This document describes a graphical user interface tool developed to control the VERI algorithm and a visualization technique that allows users to graphically animate and visually inspect multi-dimensional data after it has been classified by the VERI algorithms. The VERI Interface Tool was written using the TcVTk Graphical User Interface (GUI) programming language, version 8.1. Although the TcVTk packages are designed to run on multi- platforms, we have concentrated our efforts to develop a user interface for the ubiquitous DOS environment.