Literature DB >> 28113321

Visualizing High-Dimensional Data: Advances in the Past Decade.

Shusen Liu, Dan Maljovec, Bei Wang, Peer-Timo Bremer, Valerio Pascucci.   

Abstract

Massive simulations and arrays of sensing devices, in combination with increasing computing resources, have generated large, complex, high-dimensional datasets used to study phenomena across numerous fields of study. Visualization plays an important role in exploring such datasets. We provide a comprehensive survey of advances in high-dimensional data visualization that focuses on the past decade. We aim at providing guidance for data practitioners to navigate through a modular view of the recent advances, inspiring the creation of new visualizations along the enriched visualization pipeline, and identifying future opportunities for visualization research.

Year:  2016        PMID: 28113321     DOI: 10.1109/TVCG.2016.2640960

Source DB:  PubMed          Journal:  IEEE Trans Vis Comput Graph        ISSN: 1077-2626            Impact factor:   4.579


  10 in total

1.  Visualizing probabilistic models and data with Intensive Principal Component Analysis.

Authors:  Katherine N Quinn; Colin B Clement; Francesco De Bernardis; Michael D Niemack; James P Sethna
Journal:  Proc Natl Acad Sci U S A       Date:  2019-06-24       Impact factor: 11.205

2.  Predicting sites of epitranscriptome modifications using unsupervised representation learning based on generative adversarial networks.

Authors:  Sirajul Salekin; Milad Mostavi; Yu-Chiao Chiu; Yidong Chen; Jianqiu Michelle Zhang; Yufei Huang
Journal:  Front Phys       Date:  2020-06-19

Review 3.  Considerations when processing and interpreting genomics data of the placenta.

Authors:  Chaini Konwar; Giulia Del Gobbo; Victor Yuan; Wendy P Robinson
Journal:  Placenta       Date:  2019-01-07       Impact factor: 3.481

4.  Visual Analytics in Deep Learning: An Interrogative Survey for the Next Frontiers.

Authors:  Fred Matthew Hohman; Minsuk Kahng; Robert Pienta; Duen Horng Chau
Journal:  IEEE Trans Vis Comput Graph       Date:  2018-06-04       Impact factor: 4.579

5.  Projections as visual aids for classification system design.

Authors:  Paulo E Rauber; Alexandre X Falcão; Alexandru C Telea
Journal:  Inf Vis       Date:  2017-06-27       Impact factor: 0.956

6.  Multidimensional mechanics: Performance mapping of natural biological systems using permutated radar charts.

Authors:  Michael M Porter; Pooya Niksiar
Journal:  PLoS One       Date:  2018-09-28       Impact factor: 3.240

7.  Track Iran's national COVID-19 response committee's major concerns using two-stage unsupervised topic modeling.

Authors:  Fatemeh Kaveh-Yazdy; Sajjad Zarifzadeh
Journal:  Int J Med Inform       Date:  2020-11-04       Impact factor: 4.046

8.  Temporal scatterplots.

Authors:  Or Patashnik; Min Lu; Amit H Bermano; Daniel Cohen-Or
Journal:  Comput Vis Media (Beijing)       Date:  2020-11-07

9.  A visual analytic approach for the identification of ICU patient subpopulations using ICD diagnostic codes.

Authors:  Daniel Alcaide; Jan Aerts
Journal:  PeerJ Comput Sci       Date:  2021-04-06

10.  Understanding Open Access Data Using Visuals: Integrating Prospective Studies of Children's Responses to Natural Disasters.

Authors:  Hazel J Shah; Betty S Lai; Audrey J Leroux; Annette M La Greca; Courtney A Colgan; Julia Medzhitova
Journal:  Child Youth Care Forum       Date:  2019-03-01
  10 in total

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