GV

GeezerVison

The World Wide Web, restored to 800 pixels of glory.

Home|About|Gaming cabinet|Archives|How it works|Starter sites

On this site

  • Sign in
  • ActionsCI/CD and automation
  • CodespacesCloud development environments
  • All Features
  • Documentation
  • Training
  • Certifications
  • Build with Copilot
  • Customize Copilot
  • Integrations
  • Trending repos
  • GitHub Sponsors
  • Developer articles
  • Enterprises

This view

  • Original page
  • New address

GeezerVison is showing github.com — GitHub - iDataVisualizationLab/Scagnostics

BranchesTags
Open more actions menu

Latest commit

 

History

51 Commits
51 Commits

Folders and files

NameName
Last commit message
Last commit date
.idea
.idea
 
 
ScagExplorerNRC
ScagExplorerNRC
 
 
data
data
 
 
data2
data2
 
 
data3
data3
 
 
data4
data4
 
 
datatmp
datatmp
 
 
figures
figures
 
 
js
js
 
 
refs
refs
 
 
.DS_Store
.DS_Store
 
 
README.md
README.md
 
 
ScagExplorerNRC.zip
ScagExplorerNRC.zip
 
 
index.html
index.html
 
 

Repository files navigation

Variable and Feature Selection Using Visual Features

This project presents an approach for abstracting multi-dimensional data with a focus on grouping the individual attributes based on visual features such as, density, skewness, shape, outliers, and texture.

ScreenShot

ScreenShot

About

No description, website, or topics provided.

Resources

Readme
Activity
Custom properties

Stars

4 stars

Watchers

1 watching

Forks

1 fork
Report repository

Releases

Packages

Contributors

Languages

You are visitor 01402503 — GeezerVison does not store the pages you look up.
Best viewed with Netscape Navigator 4.7 or Internet Explorer 6 at 800×600. No cookies required.