The Science and Information (SAI) Organization
  • Home
  • About Us
  • Journals
  • Conferences
  • Contact Us

Publication Links

  • IJACSA
  • Author Guidelines
  • Publication Policies
  • Digital Archiving Policy
  • Promote your Publication
  • Metadata Harvesting (OAI2)

IJACSA

  • About the Journal
  • Call for Papers
  • Editorial Board
  • Author Guidelines
  • Submit your Paper
  • Current Issue
  • Archives
  • Indexing
  • Fees/ APC
  • Reviewers
  • Apply as a Reviewer

IJARAI

  • About the Journal
  • Archives
  • Indexing & Archiving

Special Issues

  • Home
  • Archives
  • Proposals
  • Guest Editors
  • SUSAI-EE 2025
  • ICONS-BA 2025
  • IoT-BLOCK 2025

Future of Information and Communication Conference (FICC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Computing Conference

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Intelligent Systems Conference (IntelliSys)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact

Future Technologies Conference (FTC)

  • Home
  • Call for Papers
  • Submit your Paper/Poster
  • Register
  • Venue
  • Contact
  • Home
  • Call for Papers
  • Editorial Board
  • Guidelines
  • Submit
  • Current Issue
  • Archives
  • Indexing
  • Fees
  • Reviewers
  • Subscribe

DOI: 10.14569/IJACSA.2013.041006
PDF

Using Penalized Regression with Parallel Coordinates for Visualization of Significance in High Dimensional Data

Author 1: Shengwen Wang
Author 2: Yi Yang
Author 3: Jih-Sheng Chang
Author 4: Fang-Pang Lin

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 10, 2013.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: In recent years, there has been an exponential increase in the amount of data being produced and disseminated by diverse applications, intensifying the need for the development of effective methods for the interactive visual and analytical exploration of large, high-dimensional datasets. In this paper, we describe the development of a novel tool for multivariate data visualization and exploration based on the integrated use of regression analysis and advanced parallel coordinates visualization. Conventional parallel-coordinates visualization is a classical method for presenting raw multivariate data on a 2D screen. However, current tools suffer from a variety of problems when applied to massively high-dimensional datasets. Our system tackles these issues through the combined use of regression analysis and a variety of enhancements to traditional parallel-coordinates display capabilities, including new techniques to handle visual clutter, and intuitive solutions for selecting, ordering, and grouping dimensions. We demonstrate the effectiveness of our system through two case-studies.

Keywords: Parallel Coordinates; High-Dimensional Data; Multivariate Visualization; LASSO Regression; Penalized Regression; Dimension Reordering

Shengwen Wang, Yi Yang, Jih-Sheng Chang and Fang-Pang Lin, “Using Penalized Regression with Parallel Coordinates for Visualization of Significance in High Dimensional Data” International Journal of Advanced Computer Science and Applications(IJACSA), 4(10), 2013. http://dx.doi.org/10.14569/IJACSA.2013.041006

@article{Wang2013,
title = {Using Penalized Regression with Parallel Coordinates for Visualization of Significance in High Dimensional Data},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2013.041006},
url = {http://dx.doi.org/10.14569/IJACSA.2013.041006},
year = {2013},
publisher = {The Science and Information Organization},
volume = {4},
number = {10},
author = {Shengwen Wang and Yi Yang and Jih-Sheng Chang and Fang-Pang Lin}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

IJACSA

Upcoming Conferences

IntelliSys 2025

28-29 August 2025

  • Amsterdam, The Netherlands

Future Technologies Conference 2025

6-7 November 2025

  • Munich, Germany

Healthcare Conference 2026

21-22 May 2026

  • Amsterdam, The Netherlands

Computing Conference 2026

9-10 July 2026

  • London, United Kingdom

IntelliSys 2026

3-4 September 2026

  • Amsterdam, The Netherlands

Computer Vision Conference 2026

15-16 October 2026

  • Berlin, Germany
The Science and Information (SAI) Organization
BACK TO TOP

Computer Science Journal

  • About the Journal
  • Call for Papers
  • Submit Paper
  • Indexing

Our Conferences

  • Computing Conference
  • Intelligent Systems Conference
  • Future Technologies Conference
  • Communication Conference

Help & Support

  • Contact Us
  • About Us
  • Terms and Conditions
  • Privacy Policy

© The Science and Information (SAI) Organization Limited. All rights reserved. Registered in England and Wales. Company Number 8933205. thesai.org