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Constructing and reconstructing the reorderable matrix

Authors:

Harri Siirtola,

Erkki MäkinenAuthors Info & Claims

Information Visualization, Volume 4, Issue 1

Pages 32 - 48

https://doi.org/10.1057/palgrave.ivs.9500086

Published: 01 March 2005 Publication History

Abstract

We consider the backgrounds, applications, implementations, and user interfaces of the reorderable matrix originally introduced by Jacques Bertin. As a new tool for handling the matrix, we propose a new kind of interface for interactive cluster analysis. As the main tool to order the rows and columns, we use the well-known barycenter heuristic. Two user tests are performed to verify the usefulness of the automatic tools.

References

[1]

1 Bertin J. Graphics and Graphic Information Processing. Walter de Gruyter & Co.: Berlin, 1981, (Originally La graphique et le traitemente graphique de I'information, 1967, translated into English by William J. Berg and Paul Scott).]]

[2]

2 Bertin J. Semiology of Graphics - Diagrams Networks Maps. The University of Wisconsin Press: Madison, 1983 (Originally Sémiologue graphique, 1967, translated into English by William J. Berg).]]

[3]

3 Bertin J. Matrix theory of graphics. Information Design Journal 2001; 10: 5-19.]]

[4]

4 Spence R. Information Visualization. ACM Press: Essex, 2001.]]

[5]

5 Adams W, Daru R. MATCHMAKER - an instrument to match demand and supply of buildings and revealing discrepancies. In: Proceedings of DDSS'94, Vaals, the Netherlands, 1994.]]

[6]

6 Veenendaal MH. Subjective orderliness versus mathematically defined order in graphical data matrices. In: Proceedings of DDSS'94, Vaals, the Netherlands, 1994.]]

[7]

7 Ulrich K, Eppinger S. Product Design and Development. McGraw-Hill: New York, 1999.]]

[8]

8 Mäkinen E, Siirtola H. Reordering the reorderable matrix as an algorithmic problem. In: Theory and Application of Diagrams, Diagrams 2000, Lecture Notes in Artificial Intelligence 1889, 2000; 453-467.]]

[9]

9 Daru R, Adams WTCF. Interactive graphic heuristic procedure. In: Kimura F, Rolstadas A, (Eds). Computer Applications in Production and Engineering. Elsevier Science Publishers: Amsterdam, 1989; 783-807.]]

[10]

10 Snijder HPS. The use of genetic algorithms in spatial optimisation problems. In: Proceedings of DDSS'94, Vaals, the Netherlands, 1994.]]

[11]

11 Lohninger H. Multivariate exploratory data analysis by means of INSPECT. In: Moll R (Ed). Software Development in Chemistry. Vol. 9. Proceedings of the 9th Workshop 'Computers in Chemistry', Bitterfeld 1994, GDCH, Frankfurt, 1995; 91-98.]]

[12]

12 Rao R, Card S. The Table Lens: merging graphical and symbolic representations in an interactive Focus+Context visualization for tabular data. In: Proceedings of CHI'94 (Boston, Massachusetts, USA), ACM Press: New York, 1994; 318-322.]]

[13]

13 Schmid C, Hinterberger H. Comparative multivariate visualization across conceptually different graphic displays. In: Proceedings of the Eight International Working Conference on Scientific and Statistical Database Management, SSDBM'94 (Charlottesville, Virginia, USA), IEEE: Los Alamitos, CA, USA, 1994.]]

[14]

14 Eades P, Wormald NC. Edge crossings in drawings of bipartite graphs. Algorithmica 1994; 11: 379-403.]]

[15]

15 Di Battista G, Eades P, Tamassia R, Tollis IG. Algorithms for graph drawing algorithms: an annotated bibliography. Computational Geometry: Theory and Applications 1994; 4: 235-282.]]

[16]

16 Siirtola H. Interaction with the reorderable matrix. In: Banissi E, Khosrowshahi F, Sarfraz M, Tatham E, Ursyn A (Eds). Information Visualization IV'99, Proceedings of the International Conference on Information Visualization (London, UK), IEEE Computer Society Press: Silver Spring, MD, 1999; 272-277.]]

[17]

17 Ware C. Information Visualization - Perception for Design. Morgan-Kaufmann: San Francisco, 2004.]]

[18]

18 Venables WN, Ripley BD. Modern Applied Statistics with S. Springer: Heidelberg, 2002.]]

[19]

19 Sawitzki G. Extensible statistical software: on a voyage to Oberon. Journal of Computational and Graphical Statistics 1996; 5: 263-283.]]

[20]

20 R Development Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. http://www.R-project.org/, 2003.]]

[21]

21 Erickson MJ. Introduction to Combinatorics. John Wiley & Sons: New York, 1996.]]

[22]

22 Siirtola H. Interactive cluster analysis. In: Banissi E et al. (Eds). Information Visualization IV 2004, Proceedings of the Eight International Conference on Information Visualization : (Los Alamitos, CA, USA), IEEE Computer Society Press: Silver Srping, MD, 2004; 471-476.]]

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https://dl.acm.org/doi/10.1145/3397125.3397127
Sun MZhao JWu HLuther KNorth CRamakrishnan N(2019)The Effect of Edge Bundling and Seriation on Sensemaking of Biclusters in Bipartite GraphsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2018.286139725:10(2983-2998)Online publication date: 1-Oct-2019
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Constructing and reconstructing the reorderable matrix

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Published In

cover image Information Visualization

Information Visualization Volume 4, Issue 1

Spring 2005

60 pages

ISSN:1473-8716

Issue’s Table of Contents

Publisher

Palgrave Macmillan

Publication History

Published: 01 March 2005

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Cited By

Shabdin NYa'acob SSjarif N(2020)Relationship Types in Visual AnalyticsProceedings of the 2020 6th International Conference on Computer and Technology Applications10.1145/3397125.3397127(1-6)Online publication date: 14-Apr-2020
https://dl.acm.org/doi/10.1145/3397125.3397127
Sun MZhao JWu HLuther KNorth CRamakrishnan N(2019)The Effect of Edge Bundling and Seriation on Sensemaking of Biclusters in Bipartite GraphsIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2018.286139725:10(2983-2998)Online publication date: 1-Oct-2019
https://dl.acm.org/doi/10.1109/TVCG.2018.2861397
Nestorov SJukić BJukić NSharma ARossi S(2019)Generating insights through data preparation, visualization, and analysisDecision Support Systems10.1016/j.dss.2019.113119125:COnline publication date: 1-Oct-2019
https://dl.acm.org/doi/10.1016/j.dss.2019.113119
Chan GXu PDai ZRen L(2018)ViBr: Visualizing Bipartite Relations at Scale with the Minimum Description Length PrincipleIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2018.286482625:1(321-330)Online publication date: 7-Dec-2018
https://dl.acm.org/doi/10.1109/TVCG.2018.2864826
Loorak MFong PCarpendale SChen MLaramee R(2014)PapilioProceedings of the 16th Eurographics Conference on Visualization10.5555/2854210.2854264(391-400)Online publication date: 9-Jun-2014
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Zhiyuan Zhang McDonnell KZadok EMueller K(2014)Visual Correlation Analysis of Numerical and Categorical Data on the Correlation MapIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2014.235049421:2(289-303)Online publication date: 30-Dec-2014
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Lu AWang WDnyate AHu X(2011)Sybil attack detection through global topology pattern visualizationInformation Visualization10.1057/ivs.2010.110:1(32-46)Online publication date: 1-Jan-2011
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Liiv I(2010)Seriation and matrix reordering methodsStatistical Analysis and Data Mining10.5555/3160819.31608213:2(70-91)Online publication date: 1-Apr-2010
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Thai VHandschuh S(2010)Enhanced navigation and focus on TileBars with barycenter heuristic-based reorderingProceedings of the International Conference on Advanced Visual Interfaces10.1145/1842993.1843059(349-352)Online publication date: 26-May-2010
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