Uncovering Representative Groups in Multidimensional Projections

Computer Graphics Forum

Volumn 34, Issue 3, 2015, Pages 281-290

  Joia, P ^a   Petronetto, F ^a,b   Nonato, L G ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b FEDERAL UNIVERSITY OF ESPÍRITO SANTO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

DATA VISUALIZATION; VISUALIZATION;

ATTRIBUTE SELECTION; DETERMINISTIC SAMPLING; MATRIX DECOMPOSITION; MULTIDIMENSIONAL DATA; SELECTION TECHNIQUES; VISUAL DATA ANALYSIS; VISUALIZATION METHOD; VISUALIZATION TECHNIQUE;

FEATURE EXTRACTION;

EID: 84937953375     PISSN: 01677055     EISSN: 14678659     Source Type: Journal    
DOI: 10.1111/cgf.12640     Document Type: Article

References (50)

1. Alsakran J., Chen Y., Zhao Y., Yang J., Luo D.,: Streamit: Dynamic visualization and interactive exploration of text streams. In IEEE Pac. Vis. Symp. (2011), pp. 131-138. 2
2. Andrews K., Kienreich W., Sabol V., Becker J., Droschl G., Kappe F., Granitzer M., Auer P., Tochtermann K.,: The infosky visual explorer: exploiting hierarchical structure and document similarities. Information Visualization 1, 3-4 (2002), 166-181. 2
3. Boutsidis C., Drineas P., Magdon-Ismail M.,: Near-optimal column-based matrix reconstruction. SIAM J. Comput. 43, 2 (2014), 687-717. 4
4. Berry M.W.,: Large-scale sparse singular value computations. International Journal of Supercomputer Applications 6, 1 (1992), 13-49. 4
5. Bache K., Lichman M.,: UCI machine learning repository, 2013. 5
6. Black K.,: Business Statistics: For Contemporary Decision Making, 6th ed. John Wiley & Sons, Inc., 2009. 5
7. Broeksema B., Telea A., Baudel T.,: Visual analysis of multi-dimensional categorical data sets. Comp. Graph. Forum 32, 8 (2013), 158-169. 2
8. Choo J., Lee C., Reddy C., Park H.,: Utopian: User-driven topic modeling based on interactive nonnegative matrix factorization. IEEE Trans. Vis. Comp. Graph. 19, 12 (2013), 1992-2001. 2
9. Cao N., Sun J., Lin Y.-R., Gotz D., Liu S., Qu H.,: Facetatlas: Multifaceted visualization for rich text corpora. IEEE Trans. Vis. Comp. Graph. 16, 6 (2010), 1172-1181. 2
10. Dempster A.P., Laird N.M., Rubin D.B.,: Maximum Likelihood from Incomplete Data via the EM Algorithm. Journal of the Royal Statistical Society 39, 1 (1977), 1-38. 4, 6
11. Edelsbrunner H., Kirkpatrick D., Seidel R.,: On the shape of a set of points in the plane. Information Theory, IEEE Transactions on 29, 4 (1983), 551-559. 5
12. Fried D., Kobourov S.G.,: Maps of computer science. In IEEE Pac. Vis. Symp. (2014), pp. 113-120. 2
13. Guyon I., Gunn S., Ben-Hur A., Dror G.,: Result Analysis of the NIPS 2003 Feature Selection Challenge. In Advances in Neural Information Processing Systems (NIPS 2004) (2004), vol. 17, MIT Press, pp. 545-552. 5
14. Gansner E.R., Hu Y., Kobourov S.G.,: Visualizing graphs and clusters as maps. IEEE Comp. Graph. Appl. 30, 6 (2010), 54. 2
15. Gansner E., Hu Y., North S.,: Visualizing streaming text data with dynamic maps. arXiv preprint (2012). 2
16. Gomez-Nieto E., San Roman F., Pagliosa P., Casaca W., Helou E., Oliveira M., Nonato L.,: Similarity preserving snippet-based visualization of web search results. IEEE Trans. Vis. Comp. Graph. 20, 3 (2014), 457-470. 1, 2
17. Gretarsson B., O'Donovan J., Bostandjiev S., Höllerer T., Asuncion A., Newman D., Smyth P.,: Topicnets: Visual analysis of large text corpora with topic modeling. ACM Trans. Intell. Syst. Techn. 3, 2 (2012), 1-26. 1, 2
18. Hall M., Frank E., Holmes G., Pfahringer B., Reutemann P., Witten I.H.,: The WEKA Data Mining Software: An Update. ACM SIGKDD explorations newsletter 11, 1 (2009), 10-18. 6, 7
19. Han J., Kamber M., Pei J.,: Data Mining: Concepts and Techniques, 3rd ed. The Morgan Kaufmann Series in Data Management Systems. Morgan Kaufmann, 2011. 7
20. Hochbaum D.S., Shmoys D.B.,: A Best Possible Heuristic for the k-Center Problem. Mathematics of Operations Research 10, 2 (1985), 180-184. 6
21. Jolliffe I.,: Principal component analysis. Wiley Online Library, 2005. 3
22. Joia P., Paulovich F., Coimbra D., Cuminato J., Nonato L.,: Local affine multidimensional projection. IEEE Trans. Vis. Comp. Graph. 17, 12 (2011), 2563-2571. 4
23. Kandogan E.,: Just-in-time annotation of clusters, outliers, and trends in point-based data visualizations. In IEEE Conf. on Visual Analyt. Science and Tech. (2012), pp. 73-82. 2
24. Kohavi R., John G.H.,: Wrappers for feature subset selection. Artificial Intelligence 97, 1-2 (Dec. 1997), 273-324. 7
25. Kullback S., Leibler R.A.,: On Information and Sufficiency. Ann. Math. Statis. 22, 1 (Mar. 1951), 79-86. 7
26. Knuth D.,: The Art of Computer Programming, Volume 2, Seminumerical Algorithms, 3rd ed. Addison-Wesley Professional, Massachusetts, 1997. 5
27. Landauer T., Foltz P., Laham D.,: An Introduction to Latent Semantic Analysis. Discourse Processes 25 (1998), 259-284. 7
28. Lee H., Kihm J., Choo J., Stasko J., Park H.,: iVisClustering:an interactive visual document clustering via topic modeling. Comp. Graph. Forum 31 (2012), 1155-1164. 2
29. Macqueen J.,: Some methods for classification and analysis of multivariate observations. In Proc. of the Fifth Berkeley Symp. on Math. Statis. and Probab. (1967), vol. 1, University of California Press, pp. 281-297. 6
30. Martins R., Coimbra D., Minghim R., Telea A.,: Visual analysis of dimensionality reduction quality for parameterized projections. Comput.Gr. 41 (2014), 26-42. 9
31. Mahoney M., Drineas P.,: Cur matrix decompositions for improved data analysis. Proc. of the National Academy of Sciences 106, 3 (2009), 697-702. 4
32. Maimon O., Rokach L.,: Data mining and knowledge discovery handbook, vol. 1. Springer, 2005. 4
33. Nocaj A., Brandes U.,: Organizing search results with a reference map. IEEE Trans. Vis. Comp. Graph. 18, 12 (2012), 2546-2555. 2
34. Peebles P.,: Probability, Random Variables and Random Signal Principles, 4th ed. McGraw-Hill, 2001. 5
35. Pelleg D., Moore A.,: X-means: Extending K-means with Efficient Estimation of the Number of Clusters. In Proc. of the 17th Internat. Conf. on Machine Learning (2000), Stanford University, Morgan Kaufmann, pp. 727-734. 6
36. Paulovich F., Minghim R.,: Hipp: A novel hierarchical point placement strategy and its application to the exploration of document collections. IEEE Trans. Vis. Comp. Graph. 14, 6 (2008), 1229-1236. 2
37. Paschou P., Mahoney M.W., Javed A., Kidd J.R., Pakstis A.J., Gu S., Kidd K.K., Drineas P.,: Intra- and interpopulation genotype reconstruction from tagging snps. Genome Research 17, 1 (2007), 96-107. 4
38. Paulovich F., Toledo F., Telles G., Minghim R., Nonato L.,: Semantic wordification of document collections. Comp. Graph. Forum 31 (2012), 1145-1153. 1, 2
39. Paulovich F.V., Toledo F., Telles G.P., Minghim R., Nonato L.G.,: Semantic wordification of document collections. Computer Graphics Forum 31, 3pt3 (2012), 1145-1153. 5
40. Ross S.,: Introduction to probability models. Academic press, 2014. 7
41. Steiger M., Bernard J., Mittelstädt S., Lücke-Tieke H., Keim D., May T., Kohlhammer J.,: Visual analysis of time-series similarities for anomaly detection in sensor networks. Comp. Graph. Forum 33, 3 (2014), 401-410. 2
42. Skupin A.,: A cartographic approach to visualizing conference abstracts. Comp. Graph. Appl. 22, 1 (2002), 50-58. 2
43. Tillé Y.,: Sampling Algorithms. Springer Series in Statistics. Springer New York, 2006. 5
44. Turkay C., Lundervold A., Lundervold A., Hauser H.,: Representative factor generation for the interactive visual analysis of high-dimensional data. IEEE Trans. Vis. Comp. Graph. 18, 12 (2012), 2621-2630. 2
45. Tan P.-N., Steinbach M., Kumar V.,: Introduction to Data Mining, first ed. Addison-Wesley, 2005. 6
46. Vitter J.,: Random Sampling with a Reservoir. ACM Trans. Math. Softw. 11, 1 (Mar. 1985), 37-57. 5
47. Velleman P., Welsch R.,: Efficient computing of regression diagnostics. The Am. Statis. 35, 4 (1981), 234-242. 4
48. Witten I., Frank E., Hall M.,: Data Mining: Practical Machine Learning Tools and Techniques, 3rd ed. Morgan Kaufmann, 2011. 6, 7
49. Wu Y., Provan T., Wei F., Liu S., Ma K.-L.,: Semantic-preserving word clouds by seam carving. Comp. Graph. Forum 30, 3 (2011), 741-750. 2
50. Wang J., Zhao J., Guo S., North C., Ramakrishnan N.,: Recloud: semantics-based word cloud visualization of user reviews. In Proc. of the 2014 Graph. Interface Conf. (2014), pp. 151-158. 2