메뉴 건너뛰기




Volumn , Issue , 2011, Pages 597-606

Learning spectral embedding for semi-supervised clustering

Author keywords

Laplacian regularization; Pairwise constraint; Semisupervised clustering (SSC); Spectral embedding

Indexed keywords

DATA MINING COMMUNITY; DATA SETS; GRAPH-BASED CLUSTERING; LAPLACIANS; LOSS FUNCTIONS; NOISY OBJECTS; PAIRWISE CONSTRAINTS; REAL WORLD DATA; SEMI-SUPERVISED CLUSTERING; SIDE INFORMATION; SPECTRAL EMBEDDING; SPECTRAL REPRESENTATIONS; STRUCTURE INFORMATION;

EID: 84863139902     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2011.89     Document Type: Conference Paper
Times cited : (21)

References (38)
  • 2
    • 33745456231 scopus 로고    scopus 로고
    • Semi-supervised learning literature survey
    • University of Wisconsin-Madison
    • X. Zhu, "Semi-supervised learning literature survey," Technical report, Computer Sciences, University of Wisconsin-Madison, 2007.
    • (2007) Technical Report, Computer Sciences
    • Zhu, X.1
  • 5
  • 10
    • 58149202361 scopus 로고    scopus 로고
    • Semi-supervised graph clustering: A kernel approach
    • B. Kulis, S. Basu, I. Dhillon, and R. Mooney, "Semi-supervised graph clustering: A kernel approach," Machine Learning, vol. 74, no. 1, pp. 1-22, 2009.
    • (2009) Machine Learning , vol.74 , Issue.1 , pp. 1-22
    • Kulis, B.1    Basu, S.2    Dhillon, I.3    Mooney, R.4
  • 13
    • 80052712151 scopus 로고    scopus 로고
    • Fast affinity propagation clustering: A multilevel approach
    • F. Shang, L.C. Jiao, J. Shi, F. Wang, and M. Gong, "Fast affinity propagation clustering: A multilevel approach," Pattern recognition, vol. 45, no. 1, pp. 474-486, 2012.
    • (2012) Pattern Recognition , vol.45 , Issue.1 , pp. 474-486
    • Shang, F.1    Jiao, L.C.2    Shi, J.3    Wang, F.4    Gong, M.5
  • 20
    • 72849138419 scopus 로고    scopus 로고
    • Integrated KL (K-means- Laplacian) clustering: A new clustering approach by combining attribute data and pairwise relations
    • F. Wang, C. H. Q. Ding, and T. Li, "Integrated KL (K-means- Laplacian) clustering: A new clustering approach by combining attribute data and pairwise relations," in proceedings of the SIAM International Conference on Data Mining, 2009, pp. 38-48.
    • (2009) Proceedings of the SIAM International Conference on Data Mining , pp. 38-48
    • Wang, F.1    Ding, C.H.Q.2    Li, T.3
  • 25
    • 34548583274 scopus 로고    scopus 로고
    • A tutorial on spectral clustering
    • U. von Luxburg, "A tutorial on spectral clustering," Statistics and Computing, vol. 17, no. 4, pp. 395-416, 2007.
    • (2007) Statistics and Computing , vol.17 , Issue.4 , pp. 395-416
    • Von Luxburg, U.1
  • 27
    • 84863338208 scopus 로고    scopus 로고
    • Fast graph Laplacian regularized kernel learning via semidefinite- quadratic-linear programming
    • X.-M. Wu, A. So, Z. Li and S. Li, "Fast graph Laplacian regularized kernel learning via semidefinite-quadratic-linear programming," in Advances in Neural Information Processing Systems 21, 2009, pp. 1964-1972.
    • (2009) Advances in Neural Information Processing Systems , vol.21 , pp. 1964-1972
    • Wu, X.-M.1    So, A.2    Li, Z.3    Li, S.4
  • 28
    • 0004236492 scopus 로고    scopus 로고
    • Baltimore, Maryland: The Johns Hopkins University Press, Third edition
    • G. H. Golub and C. F. V. Loan, Matrix computations, Baltimore, Maryland: The Johns Hopkins University Press, Third edition, 1996.
    • (1996) Matrix Computations
    • Golub, G.H.1    Loan, C.F.V.2
  • 29
    • 3142743708 scopus 로고    scopus 로고
    • Solving semidefinitequadratic- linear programs using SDPT3
    • R. H. Tütüncü, K. C. Toh, and M. J. Todd, "Solving semidefinitequadratic- linear programs using SDPT3," Mathematical Programming, vol. 95, pp. 189-217, 2003.
    • (2003) Mathematical Programming , vol.95 , pp. 189-217
    • Tütüncü, R.H.1    Toh, K.C.2    Todd, M.J.3
  • 30
    • 20344396845 scopus 로고    scopus 로고
    • YALMIP: A toolbox for modeling and optimization in MATLAB
    • J. Löfberg, "YALMIP: A toolbox for modeling and optimization in MATLAB," The CACSD Conference, 2004.
    • (2004) The CACSD Conference
    • Löfberg, J.1
  • 31
    • 78149357397 scopus 로고    scopus 로고
    • Semisupervised kernel matrix learning by kernel propagation
    • E. Hu, S. Chen, D. Zhang, and X. Yin, "Semisupervised kernel matrix learning by kernel propagation," IEEE Trans. Neural Networks, vol. 21, no. 11, pp.1831-1841, 2010.
    • (2010) IEEE Trans. Neural Networks , vol.21 , Issue.11 , pp. 1831-1841
    • Hu, E.1    Chen, S.2    Zhang, D.3    Yin, X.4
  • 37
    • 0035328421 scopus 로고    scopus 로고
    • Modeling the shape the scene: A holistic representation of the spatial envelope
    • A. Oliva and A. Torralba, "Modeling the shape the scene: A holistic representation of the spatial envelope," International Journal of Computer Vision, vol. 42, no. 3, pp. 145-175, 2001.
    • (2001) International Journal of Computer Vision , vol.42 , Issue.3 , pp. 145-175
    • Oliva, A.1    Torralba, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.