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Volumn 4, Issue , 2004, Pages 581-584

Support vector clustering combined with spectral graph partitioning

Author keywords

[No Author keywords available]

Indexed keywords

DATA POINTS; SPECTRAL GRAPH PARTITIONING (SGP); SUPPORT VECTOR CLUSTERING (SVC); SUPPORT VECTOR MACHINES (SVM);

EID: 10044259427     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2004.1333839     Document Type: Conference Paper
Times cited : (15)

References (7)
  • 3
    • 84898941932 scopus 로고    scopus 로고
    • Support vector method for novelty detection
    • Proceedings of the 1999 conference. Sara A. Solla, Todd K. Leen and Klaus-Robert Muller eds., MIT Press
    • B. Scholkopf, R. C. Williamson, A. J. Smola, J. Shawe-Talyor, and J.C. Platt. Support vector method for novelty detection, in Advances in Neural Information Processing Systems 12: Proceedings of the 1999 conference. Sara A. Solla, Todd K. Leen and Klaus-Robert Muller eds., pp. 582-588. MIT Press, 2000.
    • (2000) Advances in Neural Information Processing Systems 12 , pp. 582-588
    • Scholkopf, B.1    Williamson, R.C.2    Smola, A.J.3    Shawe-Talyor, J.4    Platt, J.C.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.