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Volumn 2005, Issue , 2005, Pages 692-696

Visualization for high-dimensional data: VisHD

Author keywords

Dimension reduction; High dimensional data; Information visualization

Indexed keywords

DATA HANDLING; DATA STRUCTURES; INFORMATION ANALYSIS; VECTORS;

EID: 33749047032     PISSN: 10939547     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IV.2005.146     Document Type: Conference Paper
Times cited : (1)

References (10)
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    • Guidelines for designing information visualization applications
    • D. Carr. Guidelines for Designing Information Visualization Applications. In Proceedings of ECUE 1999.
    • Proceedings of ECUE 1999
    • Carr, D.1
  • 3
    • 1042275194 scopus 로고    scopus 로고
    • A survey of dimension reduction techniques
    • Lawrence Livemore National Laboratory, June
    • I. K. Fodor, "A survey of dimension reduction techniques," technical report, Lawrence Livemore National Laboratory, June 2002
    • (2002) Technical Report
    • Fodor, I.K.1
  • 4
    • 45149087709 scopus 로고    scopus 로고
    • InfoSky: A system for visual exploration of very large, hierarchically structured knowledge spaces
    • Oct.
    • W. Kienreich, V. Sabol, M. Granitzer, F. Kappe, and K. Andrews. InfoSky: A System for Visual Exploration of Very Large, Hierarchically Structured Knowledge Spaces. In Proceeding of FGWM 2003, Oct. 2003.
    • (2003) Proceeding of FGWM 2003
    • Kienreich, W.1    Sabol, V.2    Granitzer, M.3    Kappe, F.4    Andrews, K.5
  • 5
    • 33749080935 scopus 로고    scopus 로고
    • Visually effective information visualization of large data
    • the research center for Virtual Reality and Visualization (VRVis)
    • Matej Novotny. Visually Effective Information Visualization of Large Data. Technical Report, the research center for Virtual Reality and Visualization (VRVis). 2004.
    • (2004) Technical Report
    • Novotny, M.1
  • 7
    • 84887006810 scopus 로고
    • A nonlinear mapping for data structure analisys
    • May
    • W. Sammon. A nonlinear mapping for data structure analisys. IEEE Transactions on computers, vol.C-18, May 1969
    • (1969) IEEE Transactions on Computers , vol.C-18
    • Sammon, W.1
  • 10
    • 5044226695 scopus 로고    scopus 로고
    • Unsupervised learning of image manifolds by semidefinite programming
    • K. Q. Weinberger and L. K. Saul. Unsupervised Learning of Image Manifolds by Semidefinite Programming, in Proceeding CVPR 2004.
    • Proceeding CVPR 2004
    • Weinberger, K.Q.1    Saul, L.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.