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Volumn 2, Issue , 2004, Pages 303-306

Sammon's nonlinear mapping using geodesic distances

Author keywords

[No Author keywords available]

Indexed keywords

CURVILINEAR COMPONENT ANALYSIS (CCA); GEODESIC DISTANCES; MULTI-DIMENSIONAL SCALING (MDS); NONLINEAR MAPPING (NLM);

EID: 10044279148     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2004.1334180     Document Type: Conference Paper
Times cited : (26)

References (6)
  • 2
    • 0030736375 scopus 로고    scopus 로고
    • Curvilinear component analysis: A self-organizing neural network for nonlinear mapping of data sets
    • Jan.
    • P. Demartines and J. Herault. Curvilinear component analysis: A self-organizing neural network for nonlinear mapping of data sets. IEEE Trans. Neural Networks, 8(1):148-154, Jan. 1997.
    • (1997) IEEE Trans. Neural Networks , vol.8 , Issue.1 , pp. 148-154
    • Demartines, P.1    Herault, J.2
  • 3
    • 84887006810 scopus 로고
    • A nonlinear mapping for data structure analysis
    • May
    • J. J. W. Sammon. A nonlinear mapping for data structure analysis. IEEE Trans. Computer, C-18(5):401-409, May 1969.
    • (1969) IEEE Trans. Computer , vol.C-18 , Issue.5 , pp. 401-409
    • Sammon, J.J.W.1
  • 6
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • Dec.
    • J. B. Tenenbaum, V. de Silva, and J. C. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290:2319-2323, Dec. 2000.
    • (2000) Science , vol.290 , pp. 2319-2323
    • Tenenbaum, J.B.1    De Silva, V.2    Langford, J.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.