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Volumn 17, Issue 1-3, 2009, Pages 41-48

Interactive exploration of large event datasets in high energy physics

Author keywords

Earth mover's distance; Interactive browsing; Multidimensional scaling; Similarity based visualization

Indexed keywords


EID: 70350289661     PISSN: 12136972     EISSN: 12136964     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (2)

References (28)
  • 1
    • 34347206833 scopus 로고    scopus 로고
    • The COMPASS experiment at CERN
    • P. Abbon et al. The COMPASS experiment at CERN. Nuclear Instruments and Methods, A577:455-518, 2007.
    • (2007) Nuclear Instruments and Methods , vol.A577 , pp. 455-518
    • Abbon, P.1
  • 4
    • 70350299651 scopus 로고    scopus 로고
    • CMS Collaboration, Chapter 4.8 The CMS Event Display. Available online at
    • CMS Collaboration. The CMS Offline WorkBook, Chapter 4.8 The CMS Event Display. Available online at https://twiki.cern.ch/twiki/bin/view/CMS/WorkBook.
    • The CMS Offline WorkBook
  • 7
  • 8
    • 35948954743 scopus 로고    scopus 로고
    • A taxonomy of clutter reduction for information visualisation
    • G. Ellis and A. Dix. A taxonomy of clutter reduction for information visualisation. IEEE Trans. Visualization and Computer Graphics, 13(6):1216-1223, 2007.
    • (2007) IEEE Trans. Visualization and Computer Graphics , vol.13 , Issue.6 , pp. 1216-1223
    • Ellis, G.1    Dix, A.2
  • 9
    • 85163204848 scopus 로고
    • The distribution of a product from several sources to numerous localities
    • F. L. Hitchcock. The distribution of a product from several sources to numerous localities. J. Math. Phys., 20:224-230, 1941.
    • (1941) J. Math. Phys. , vol.20 , pp. 224-230
    • Hitchcock, F.L.1
  • 10
    • 0032154770 scopus 로고    scopus 로고
    • Computing the Kantorovich distance for images
    • T. Kaijser. Computing the Kantorovich distance for images. J. Math. Imaging and Vision, 9(2):173-191, 1998.
    • (1998) J. Math. Imaging and Vision , vol.9 , Issue.2 , pp. 173-191
    • Kaijser, T.1
  • 11
    • 0003430544 scopus 로고
    • Finding Groups in Data: An Introduction to Cluster Analysis
    • Wiley-Interscience
    • L. Kaufman and P. J. Rousseeuw. Finding Groups in Data: An Introduction to Cluster Analysis. Wiley-Interscience, 1990.
    • (1990)
    • Kaufman, L.1    Rousseeuw, P.J.2
  • 13
    • 24944533365 scopus 로고
    • Nonmetric multidimensional scaling: A numerical method
    • J. B. Kruskal. Nonmetric multidimensional scaling: A numerical method. Psychometrika, 29:115-129, 1964.
    • (1964) Psychometrika , vol.29 , pp. 115-129
    • Kruskal, J.B.1
  • 16
    • 70350256681 scopus 로고    scopus 로고
    • Event visualization for the ATLAS experiment - The technologies involved
    • Z. Maxa et al. Event visualization for the ATLAS experiment - the technologies involved. In Proc. of Computing in High Energy Physics (CHEP'06), 2006.
    • (2006) Proc. of Computing in High Energy Physics (CHEP'06)
    • Maxa, Z.1
  • 23
    • 0034313871 scopus 로고    scopus 로고
    • The earth mover's distance as a metric for image retrieval
    • Y. Rubner, C. Tomasi, and L. J. Guibas. The earth mover's distance as a metric for image retrieval. Intern. J. Comp. Vision, 40(2):99-121, 2000.
    • (2000) Intern. J. Comp. Vision , vol.40 , Issue.2 , pp. 99-121
    • Rubner, Y.1    Tomasi, C.2    Guibas, L.J.3
  • 25
    • 84950351930 scopus 로고
    • Multidimensional scaling: I. Theory and method
    • W. S. Torgerson. Multidimensional scaling: I. Theory and method. Psychometrika, 17:401-419, 1952.
    • (1952) Psychometrika , vol.17 , pp. 401-419
    • Torgerson, W.S.1
  • 26
    • 16444383160 scopus 로고    scopus 로고
    • Survey of clustering algorithms
    • R. Xu and D. Wunsch. Survey of clustering algorithms. IEEE Trans. Neural Networks, 16(3):645-678, 2005.
    • (2005) IEEE Trans. Neural Networks , vol.16 , Issue.3 , pp. 645-678
    • Xu, R.1    Wunsch, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.