NDLI: Orientation-Enhanced Parallel Coordinate Plots

Content Provider	IEEE Xplore Digital Library
Author	Raidou, R.G. Eisemann, M. Breeuwer, M. Eisemann, E. Vilanova, A.
Copyright Year	1995
Description	Parallel Coordinate Plots (PCPs) is one of the most powerful techniques for the visualization of multivariate data. However, for large datasets, the representation suffers from clutter due to overplotting. In this case, discerning the underlying data information and selecting specific interesting patterns can become difficult. We propose a new and simple technique to improve the display of PCPs by emphasizing the underlying data structure. Our Orientation-enhanced Parallel Coordinate Plots (OPCPs) improve pattern and outlier discernibility by visually enhancing parts of each PCP polyline with respect to its slope. This enhancement also allows us to introduce a novel and efficient selection method, the Orientation-enhanced Brushing (O-Brushing). Our solution is particularly useful when multiple patterns are present or when the view on certain patterns is obstructed by noise. We present the results of our approach with several synthetic and real-world datasets. Finally, we conducted a user evaluation, which verifies the advantages of the OPCPs in terms of discernibility of information in complex data. It also confirms that O-Brushing eases the selection of data patterns in PCPs and reduces the amount of necessary user interactions compared to state-of-the-art brushing techniques.
Sponsorship	IEEE Computer Society Technical Committee on Computer Graphics IEEE Computer Society
Starting Page	589
Ending Page	598
Page Count	10
File Size	3927905
File Format	PDF
ISSN	10772626
Volume Number	22
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2016-01-31
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Brushes Visualization Data visualization Clutter Histograms Data structures Kernel Data Selection Parallel Coordinates Orientation-enhanced Parallel Coordinates Brushing Orientation-enhanced Brushing Data Readability
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Signal Processing Computer Vision and Pattern Recognition Software

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Stacking Graphic Elements to Avoid Over-Plotting

Pargnostics: Screen-Space Metrics for Parallel Coordinates

Matching Visual Saliency to Confidence in Plots of Uncertain Data

Enabling Automatic Clutter Reduction in Parallel Coordinate Plots

A Psychophysical Investigation of Size as a Physical Variable

Angular Histograms: Frequency-Based Visualizations for Large, High Dimensional Data

Flexible Linked Axes for Multivariate Data Visualization

Interactive Visual Analysis of Families of Function Graphs

Adaptive Privacy-Preserving Visualization Using Parallel Coordinates

Orientation-Enhanced Parallel Coordinate Plots

Similar Documents

Stacking Graphic Elements to Avoid Over-Plotting

Pargnostics: Screen-Space Metrics for Parallel Coordinates

Matching Visual Saliency to Confidence in Plots of Uncertain Data

Enabling Automatic Clutter Reduction in Parallel Coordinate Plots

A Psychophysical Investigation of Size as a Physical Variable

Angular Histograms: Frequency-Based Visualizations for Large, High Dimensional Data

Flexible Linked Axes for Multivariate Data Visualization

Interactive Visual Analysis of Families of Function Graphs

Adaptive Privacy-Preserving Visualization Using Parallel Coordinates

Orientation-Enhanced Parallel Coordinate Plots