loading
Papers Papers/2020

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Ronak Etemadpour 1 ; Robson Carlos da Motta 2 ; Jose Gustavo de Souza Paiva 3 ; Rosane Minghim 2 ; Maria Cristina Ferreira de Oliveira 2 and Lars Linsen 1

Affiliations: 1 Jacobs University Bremen, Germany ; 2 Universidade de São Paulo, Brazil ; 3 Federal University of Uberlândia, Brazil

ISBN: 978-989-758-005-5

ISSN: 2184-4321

Keyword(s): Projections, Multidimensional Data, Perception-based Evaluation.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; General Data Visualization ; High-Dimensional Data and Dimensionality Reduction ; Interpretation and Evaluation Methods ; Perception and Cognition in Visualization

Abstract: Visualization of high-dimensional data requires a mapping to a visual space. Whenever the goal is to preserve similarity relations, multidimensional projections or other dimension reduction techniques are commonly used to project high-dimensional data point to a 2D point using a certain strategy for the 2D layout.Typical analysis tasks for projected multidimensional data do not necessarily match the expectations of human perception. Learning more about the effectiveness of projection layouts from a users perspective is an important step towards consolidating their role in supporting visual analytics tasks. Those tasks often involve detecting and correlating clusters. To understand the role of orientation and cluster properties of size, shape and density, we first conducted a study with synthetic 2D scatter plots, where we can set the respective properties manually. Then we picked five projection methods representative of different approaches to generate layouts of high dimensional dat a for two domains, image and document data. The users were asked to identify the clusters on real-world data and answers to questions were compared for correctness against ground truth computed directly from the data. Our results offer interesting insight on the use of projection layouts in data visualization tasks. (More)

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.239.33.139

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Etemadpour, R.; Carlos da Motta, R.; de Souza Paiva, J.; Minghim, R.; Ferreira de Oliveira, Maria Cristina and Linsen, L. (2014). Role of Human Perception in Cluster-based Visual Analysis of Multidimensional Data Projections.In Proceedings of the 5th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2014) ISBN 978-989-758-005-5, ISSN 2184-4321, pages 276-283. DOI: 10.5220/0004682102760283

@conference{ivapp14,
author={Ronak Etemadpour. and Robson Carlos da Motta. and Jose Gustavo de Souza Paiva. and Rosane Minghim. and Ferreira de Oliveira, Maria Cristina and Lars Linsen.},
title={Role of Human Perception in Cluster-based Visual Analysis of Multidimensional Data Projections},
booktitle={Proceedings of the 5th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2014)},
year={2014},
pages={276-283},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004682102760283},
isbn={978-989-758-005-5},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Information Visualization Theory and Applications - Volume 1: IVAPP, (VISIGRAPP 2014)
TI - Role of Human Perception in Cluster-based Visual Analysis of Multidimensional Data Projections
SN - 978-989-758-005-5
AU - Etemadpour, R.
AU - Carlos da Motta, R.
AU - de Souza Paiva, J.
AU - Minghim, R.
AU - Ferreira de Oliveira, Maria Cristina
AU - Linsen, L.
PY - 2014
SP - 276
EP - 283
DO - 10.5220/0004682102760283

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.