메뉴 건너뛰기




Volumn 34, Issue 5, 2012, Pages 1031-1039

Optimized data fusion for kernel k-means clustering

Author keywords

Clustering; data fusion; Fisher discriminant analysis; least squares support vector machine; multiple kernel learning

Indexed keywords

ALTERNATING MINIMIZATION; CLUSTER MEMBERSHIPS; CLUSTERING; CLUSTERING ANALYSIS; DATA SETS; FISHER DISCRIMINANT ANALYSIS; KERNEL K-MEANS; LEAST SQUARES SUPPORT VECTOR MACHINES; LOWER COMPLEXITY; MULTIPLE DATA SOURCES; MULTIPLE KERNEL LEARNING; NONCONVEX PROBLEM; RAYLEIGH QUOTIENTS; REAL LIFE DATA;

EID: 84859192672     PISSN: 01628828     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPAMI.2011.255     Document Type: Article
Times cited : (243)

References (51)
  • 1
    • 0001614864 scopus 로고    scopus 로고
    • The MOSEK interior point optimizer for linear programming: An implementation of the homogeneous algorithm
    • E.D. Andersen and K.D. Andersen, "The MOSEK Interior Point Optimizer for Linear Programming: An Implementation of the Homogeneous Algorithm," High Performance Optimization, pp. 197-232, 2000.
    • (2000) High Performance Optimization , pp. 197-232
    • Andersen, E.D.1    Andersen, K.D.2
  • 2
    • 36448962361 scopus 로고    scopus 로고
    • Cumulative voting consensus method for partitions with variable number of clusters
    • DOI 10.1109/TPAMI.2007.1138
    • H.G. Ayad and M.S. Kamel, "Cumulative Voting Consensus Method for Partitions with a Variable Number of Clusters," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 30, no. 1, pp. 160-173, Jan. 2008. (Pubitemid 350168363)
    • (2008) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.30 , Issue.1 , pp. 160-173
    • Ayad, H.G.1    Kamel, M.S.2
  • 6
    • 0034296402 scopus 로고    scopus 로고
    • Generalized discriminant analysis using a kernel approach
    • G. Baudat and F. Anouar, "Generalized Discriminant Analysis Using a Kernel Approach," Nerual Computation, vol. 12, no. 10, pp. 2385-2404, 2000.
    • (2000) Nerual Computation , vol.12 , Issue.10 , pp. 2385-2404
    • Baudat, G.1    Anouar, F.2
  • 9
    • 0001560954 scopus 로고
    • Information geometry and alternating minimization procedures
    • I. Csiszar and G. Tusnady, "Information Geometry and Alternating Minimization Procedures," Statistics and Decisions, supplement 1, pp. 205-237, 1984.
    • (1984) Statistics and Decisions , Issue.SUPPL. 1 , pp. 205-237
    • Csiszar, I.1    Tusnady, G.2
  • 15
    • 21244468777 scopus 로고    scopus 로고
    • Combining multiple clusterings using evidence accumulation
    • DOI 10.1109/TPAMI.2005.113
    • A.L.N. Fred and A.K. Jain, "Combining Multiple Clusterings Using Evidence Accumulation," IEEE Trans. Pattern Analysis Machine and Intelligence, vol. 27, no. 6, pp. 835-850, June 2005. (Pubitemid 40889836)
    • (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.27 , Issue.6 , pp. 835-850
    • Fred, A.L.N.1    Jain, A.K.2
  • 17
    • 0036565280 scopus 로고    scopus 로고
    • Mercer kernel-based clustering in feature space
    • DOI 10.1109/TNN.2002.1000150, PII S1045922702050038
    • M. Girolami, "Mercer Kernel-Based Clustering in Feature Space," IEEE Trans. Neural Networks, vol. 13, no. 3, pp. 780-784, May 2002. (Pubitemid 34669666)
    • (2002) IEEE Transactions on Neural Networks , vol.13 , Issue.3 , pp. 780-784
    • Girolami, M.1
  • 19
    • 0027657329 scopus 로고
    • Semi-infinite programming: theory, methods, and applications
    • R. Hettich and K.O. Kortanek, "Semi-Infinite Programming: Theory, Methods, and Applications," SIAM Rev., vol. 35., no. 3, pp. 380-429, 1993. (Pubitemid 23712350)
    • (1993) SIAM Review , vol.35 , Issue.3 , pp. 380-429
    • Hettich, R.1    Kortanek, K.O.2
  • 20
    • 3242707002 scopus 로고    scopus 로고
    • Generalizing discriminant analysis using the generalized singular value decomposition
    • Aug.
    • P. Howload and H. Park, "Generalizing Discriminant Analysis Using the Generalized Singular Value Decomposition," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 26, no. 8, pp. 995-1006, Aug. 2004.
    • (2004) IEEE Trans. Pattern Analysis and Machine Intelligence , vol.26 , Issue.8 , pp. 995-1006
    • Howload, P.1    Park, H.2
  • 21
    • 0000008146 scopus 로고
    • Comparing partitions
    • L. Hubert and P. Arabie, "Comparing Partitions," J. Classification, vol. 2, no. 1, pp. 193-218, 1985.
    • (1985) J. Classification , vol.2 , Issue.1 , pp. 193-218
    • Hubert, L.1    Arabie, P.2
  • 26
    • 34547669000 scopus 로고    scopus 로고
    • Uncorrelated linear discriminant analysis based on weighted pairwise Fisher criterion
    • DOI 10.1016/j.patcog.2007.03.030, PII S0031320307001689
    • Y. Liang, C. Li, W. Gong, and Y. Pan, "Uncorrelated Linear Discriminant Analysis Based on Weighted Pairwise Fisher Criterion," Pattern Recognition, vol. 40, pp. 3606-3615, 2007. (Pubitemid 47223279)
    • (2007) Pattern Recognition , vol.40 , Issue.12 , pp. 3606-3615
    • Liang, Y.1    Li, C.2    Gong, W.3    Pan, Y.4
  • 27
    • 58649095928 scopus 로고    scopus 로고
    • Uncorrelated multilinear discriminant analysis with regularization and aggregation for tensor object recognition
    • Jan.
    • H. Lu, K.N. Plataniotis, and A.N. Venetsanopoulos, "Uncorrelated Multilinear Discriminant Analysis with Regularization and Aggregation for Tensor Object Recognition," IEEE Trans. Neural Networks, vol. 20, no. 1, pp. 103-123, Jan. 2009.
    • (2009) IEEE Trans. Neural Networks , vol.20 , Issue.1 , pp. 103-123
    • Lu, H.1    Plataniotis, K.N.2    Venetsanopoulos, A.N.3
  • 32
    • 78149302094 scopus 로고    scopus 로고
    • Efficient nonlinear dimension reduction for clustered data using kernel functions
    • C.H. Park and H. Park, "Efficient Nonlinear Dimension Reduction for Clustered Data Using Kernel Functions," Proc. IEEE Third Int'l Conf. Data Mining, pp. 243-250, 2003.
    • (2003) Proc. IEEE Third Int'l Conf. Data Mining , pp. 243-250
    • Park, C.H.1    Park, H.2
  • 34
    • 39549101749 scopus 로고    scopus 로고
    • Dimensionality reduction of clustered data sets
    • DOI 10.1109/TPAMI.2007.70819
    • G. Sanguinetti, "Dimensionality Reduction of Clustered Data Sets," IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 30, no. 3, pp. 535-540, Mar. 2008. (Pubitemid 351280059)
    • (2008) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.30 , Issue.3 , pp. 535-540
    • Sanguinetti, G.1
  • 35
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • B. Schölkopf, A. Smola, and K.R. Mü ller, "Nonlinear Component Analysis as a Kernel Eigenvalue Problem," J. Neural Computation, vol. 10, pp. 1299-1319, 1998.
    • (1998) J. Neural Computation , vol.10 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.2    Mü Ller, K.R.3
  • 36
    • 84865131152 scopus 로고    scopus 로고
    • A Generalized Representer Theorem
    • Computational Learning Theory
    • B. Schölkopf, R. Herbrich, and A.J. Smola, "A Generalized Representer Theorem," Proc. 14th Ann. Conf. Computational Learning Theory and Fifth European Conf. Computational Learning Theory, pp. 416-426, 2001. (Pubitemid 33312837)
    • (2001) Lecture Notes in Computer Science , Issue.2111 , pp. 416-426
    • Scholkopf, B.1    Herbrich, R.2    Smola, A.J.3
  • 40
    • 0041965980 scopus 로고    scopus 로고
    • Clustering ensembles: A knowledge reuse framework for combining multiple partitions
    • A. Strehl and J. Ghosh, "Clustering Ensembles: A Knowledge Reuse Framework for Combining Multiple Partitions," J. Machine Learning Research, vol. 3, pp. 583-617, 2002.
    • (2002) J. Machine Learning Research , vol.3 , pp. 583-617
    • Strehl, A.1    Ghosh, J.2
  • 43
  • 44
    • 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
  • 46
    • 44649123652 scopus 로고    scopus 로고
    • Multi-class discriminant kernel learning via convex programming
    • J.P. Ye, S.W. Ji, and J.H. Chen, "Multi-Class Discriminant Kernel Learning via Convex Programming," J. Machine Learning Research, vol. 9, pp. 719-758, 2008.
    • (2008) J. Machine Learning Research , vol.9 , pp. 719-758
    • Ye, J.P.1    Ji, S.W.2    Chen, J.H.3
  • 47
    • 77249129039 scopus 로고    scopus 로고
    • Gene prioritization and clustering by multi-view text mining
    • S. Yu, L.-C. Tranchevent, B. De Moor, and Y. Moreau, "Gene Prioritization and Clustering by Multi-View Text Mining," BMC Bioinformatics, vol. 11, no. 28, pp. 1-48, 2010.
    • (2010) BMC Bioinformatics , vol.11 , Issue.28 , pp. 1-48
    • Yu, S.1    Tranchevent, L.-C.2    De Moor, B.3    Moreau, Y.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.