Visual Interaction with Dimensionality Reduction : A Structured Literature Analysis

Sacha, Dominik; Zhang, Leishi; Sedlmair, Michael; Lee, John A.; Peltonen, Jaakko; Weiskopf, Daniel; North, Stephen C.; Keim, Daniel A.

Visual Interaction with Dimensionality Reduction : A Structured Literature Analysis

Files

Sacha_2-fce66u3etpgh3.pdf(590.95 KB)

Date

2017

Authors

Sacha, Dominik

Zhang, Leishi

Sedlmair, Michael

Lee, John A.

Peltonen, Jaakko

Weiskopf, Daniel

North, Stephen C.

Keim, Daniel A.

Publication type

Journal article

Publication status

Published

Published in

IEEE Transactions on Visualization and Computer Graphics (T-VCG) ; 23 (2017), 1. - pp. 241-250. - ISSN 1077-2626. - eISSN 1941-0506

Abstract

Dimensionality Reduction (DR) is a core building block in visualizing multidimensional data. For DR techniques to be useful in exploratory data analysis, they need to be adapted to human needs and domain-specific problems, ideally, interactively, and on-the-fly. Many visual analytics systems have already demonstrated the benefits of tightly integrating DR with interactive visualizations. Nevertheless, a general, structured understanding of this integration is missing. To address this, we systematically studied the visual analytics and visualization literature to investigate how analysts interact with automatic DR techniques. The results reveal seven common interaction scenarios that are amenable to interactive control such as specifying algorithmic constraints, selecting relevant features, or choosing among several DR algorithms. We investigate specific implementations of visual analysis systems integrating DR, and analyze ways that other machine learning methods have been combined with DR. Summarizing the results in a "human in the loop" process model provides a general lens for the evaluation of visual interactive DR systems. We apply the proposed model to study and classify several systems previously described in the literature, and to derive future research opportunities.

Subject (DDC)

004 Computer Science

Keywords

Data visualization, Visualization, Algorithm design and analysis, Data models, Manuals, Machine learning algorithms, Analytical models

Cite This

ISO 690

SACHA, Dominik, Leishi ZHANG, Michael SEDLMAIR, John A. LEE, Jaakko PELTONEN, Daniel WEISKOPF, Stephen C. NORTH, Daniel A. KEIM, 2017. Visual Interaction with Dimensionality Reduction : A Structured Literature Analysis. In: IEEE Transactions on Visualization and Computer Graphics (T-VCG). 23(1), pp. 241-250. ISSN 1077-2626. eISSN 1941-0506. Available under: doi: 10.1109/TVCG.2016.2598495

BibTex

@article{Sacha2017-01Visua-38130,
  year={2017},
  doi={10.1109/TVCG.2016.2598495},
  title={Visual Interaction with Dimensionality Reduction : A Structured Literature Analysis},
  number={1},
  volume={23},
  issn={1077-2626},
  journal={IEEE Transactions on Visualization and Computer Graphics (T-VCG)},
  pages={241--250},
  author={Sacha, Dominik and Zhang, Leishi and Sedlmair, Michael and Lee, John A. and Peltonen, Jaakko and Weiskopf, Daniel and North, Stephen C. and Keim, Daniel A.}
}

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Bibliography of Konstanz

Yes