Role of Human Perception in Cluster-based Visual Analysis of Multidimensional Data Projections

Ronak Etemadpour, Robson Carlos da Motta, Jose Gustavo de Souza Paiva, Rosane Minghim, Maria Cristina Ferreira de Oliveira, Lars Linsen

2014

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 data 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.

Paper Citation

in Harvard Style

Etemadpour R., Carlos da Motta R., de Souza Paiva J., Minghim R., Ferreira de Oliveira M. 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, pages 276-283. DOI: 10.5220/0004682102760283

in Bibtex Style

@conference{ivapp14,
author={Ronak Etemadpour and Robson Carlos da Motta and Jose Gustavo de Souza Paiva and Rosane Minghim and Maria Cristina Ferreira de Oliveira 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},
}

in EndNote Style

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 M.
AU - Linsen L.
PY - 2014
SP - 276
EP - 283
DO - 10.5220/0004682102760283