Data Sampling in Multi-view and Multi-class Scatterplots via Set Cover Optimization

Hu, Ruizhen; Sha, Tingkai; Van Kaick, Oliver; Deussen, Oliver; Huang, Hui

Data Sampling in Multi-view and Multi-class Scatterplots via Set Cover Optimization

Dateien

Zu diesem Dokument gibt es keine Dateien.

Datum

2020

Autor:innen

Hu, Ruizhen

Sha, Tingkai

Van Kaick, Oliver

Deussen, Oliver

Huang, Hui

DOI (zitierfähiger Link)

https://doi.org/10.1109/TVCG.2019.2934799

Sammlungen

Informatik und Informationswissenschaft
Exzellenzcluster "Centre for the Advanced Study of Collective Behaviour"

Publikationstyp

Zeitschriftenartikel

Publikationsstatus

Published

Erschienen in

IEEE Transactions on Visualization and Computer Graphics. Institute of Electrical and Electronics Engineers (IEEE). 2020, 26(1), pp. 739-748. ISSN 1077-2626. eISSN 1941-0506. Available under: doi: 10.1109/TVCG.2019.2934799

Zusammenfassung

We present a method for data sampling in scatterplots by jointly optimizing point selection for different views or classes. Our method uses space-filling curves (Z-order curves) that partition a point set into subsets that, when covered each by one sample, provide a sampling or coreset with good approximation guarantees in relation to the original point set. For scatterplot matrices with multiple views, different views provide different space-filling curves, leading to different partitions of the given point set. For multi-class scatterplots, the focus on either per-class distribution or global distribution provides two different partitions of the given point set that need to be considered in the selection of the coreset. For both cases, we convert the coreset selection problem into an Exact Cover Problem (ECP), and demonstrate with quantitative and qualitative evaluations that an approximate solution that solves the ECP efficiently is able to provide high-quality samplings.

Fachgebiet (DDC)

004 Informatik

Zitieren

ISO 690

HU, Ruizhen, Tingkai SHA, Oliver VAN KAICK, Oliver DEUSSEN, Hui HUANG, 2020. Data Sampling in Multi-view and Multi-class Scatterplots via Set Cover Optimization. In: IEEE Transactions on Visualization and Computer Graphics. Institute of Electrical and Electronics Engineers (IEEE). 2020, 26(1), pp. 739-748. ISSN 1077-2626. eISSN 1941-0506. Available under: doi: 10.1109/TVCG.2019.2934799

BibTex

@article{Hu2020-01Sampl-46821,
  year={2020},
  doi={10.1109/TVCG.2019.2934799},
  title={Data Sampling in Multi-view and Multi-class Scatterplots via Set Cover Optimization},
  number={1},
  volume={26},
  issn={1077-2626},
  journal={IEEE Transactions on Visualization and Computer Graphics},
  pages={739--748},
  author={Hu, Ruizhen and Sha, Tingkai and Van Kaick, Oliver and Deussen, Oliver and Huang, Hui}
}

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Universitätsbibliographie

Ja

Begutachtet

Ja