Simultaneous clustering and classification over cluster structure representation

Pattern Recognition

Volumn 45, Issue 6, 2012, Pages 2227-2236

  Qian, Qiang ^a   Chen, Songcan ^a   Cai, Weiling ^b  

^a NANJING UNIVERSITY OF AERONAUTICS AND ASTRONAUTICS   (China)

^b NANJING NORMAL UNIVERSITY   (China)

Author keywords

Classification learning; Clustering learning; Simultaneous classification and clustering learning; Structure in data

Indexed keywords

ALTERNATIVE FRAMEWORK; CLASSIFICATION AND CLUSTERING; CLASSIFICATION LEARNING; CLUSTER CENTROIDS; CLUSTER STRUCTURE; CLUSTERING LEARNING; DATA CLUSTERS; DATA INFORMATIONS; FINAL OBJECTIVE; LABEL INFORMATION; LEARNING CLUSTERING; LEARNING FRAMEWORKS; MAIN TASKS; MODIFIED PARTICLE SWARM OPTIMIZATION; OPTIMAL SOLUTIONS; OPTIMIZATION ALGORITHMS; SEARCHING METHODS; SEMI-SUPERVISED; SEPARATE LEARNING; SIMULTANEOUS CLASSIFICATION AND CLUSTERING;

ALGORITHMS; HEURISTIC METHODS; PATTERN RECOGNITION; SEPARATION;

TEACHING;

EID: 84857037693     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2011.11.027     Document Type: Article

References (26)

1. M. Belkin, P. Niyogi, and V. Sindhwani Manifold regularization: a geometric framework for learning from labeled and unlabeled examples The Journal of Machine Learning Research 7 2006 2399 2434 (Pubitemid 44708005)
2. D.P. Bertsekas, W.W. Hager, and O.L. Mangasarian Nonlinear Programming 1999 Athena Scientific Belmont MA
3. C.M. Bishop Pattern Recognition and Machine Learning 2006 Springer New York
4. W. Cai, S. Chen, and D. Zhang Robust fuzzy relational classifier incorporating the soft class labels Pattern Recognition Letters 28 16 2007 2250 2263 (Pubitemid 47538780)
5. W. Cai, S. Chen, and D. Zhang A simultaneous learning framework for clustering and classification Pattern Recognition 42 7 2009 1248 1259
6. W. Cai, S. Chen, and D. Zhang A multiobjective simultaneous learning framework for clustering and classification IEEE Transactions on Neural Networks 21 2 2010 185 200
7. O. Chapelle, B. Scholkopf, and A. Zien Semi-supervised Learning 2006 MIT Press
8. S.C. Chen, and D.Q. Zhang A novel kernelized fuzzy c-means algorithm with application in medical image segmentation Artificial Intelligence in Medicine 32 2004 37 50
9. R.O. Duda, P.E. Hart, and D.G. Stork Pattern Classification 2001 Wiley New York
10. S. Haykin Neural Networks: A Comprehensive Foundation 1994 Prentice-Hall
11. A.K. Jain, R.P.W. Duin, and J. Mao Statistical pattern recognition: a review IEEE Transactions on Pattern Analysis and Machine Intelligence 22 1 2000 4 37 (Pubitemid 32132953)
12. M.R. Gray, J.M. Keller, J.R. James, and A. Givens A fuzzy k-nearest neighbor algorithm IEEE Transactions on Systems, Man, and Cybernetics 15 4 1985 581
13. S.W. Kim, and B.J. Oommen Enhancing prototype reduction schemes with LVQ3-type algorithms Pattern Recognition 36 5 2003 1083 1093 (Pubitemid 36175216)
14. X. Li, and N. Ye Grid-and dummy-cluster-based learning of normal and intrusive clusters for computer intrusion detection Quality and Reliability Engineering International 18 3 2002 231 242 (Pubitemid 34699725)
15. X. Li, and N. Ye A supervised clustering and classification algorithm for mining data with mixed variables IEEE Transactions on Systems, Man and Cybernetics, Part A 36 2 2006 396 406 (Pubitemid 43280559)
16. Y.F. Li, J.T. Kwok, and Z.H. Zhou Semi-supervised learning using label mean Proceedings of the 26th Annual International Conference on Machine Learning 2009 ACM 633 640
17. J. Liu, and J. Ye Efficient Euclidean projections in linear time Proceedings of the 26th Annual International Conference on Machine Learning 2009 657 664
18. I. Maglogiannis, H. Sarimveis, C.T. Kiranoudis, A.A. Chatziioannou, N. Oikonomou, and V. Aidinis Radial basis function neural networks classification for the recognition of idiopathic pulmonary fibrosis in microscopic images IEEE Transactions on Information Technology in Biomedicine 12 1 2008 42 54 (Pubitemid 351266642)
19. P.K. Mallapragada, R. Jin, A.K. Jain, and Y. Liu Semiboost: boosting for semi-supervised learning IEEE Transactions on Pattern Analysis and Machine Intelligence 2008 2000 2014
20. L. Qiao, L. Zhang, and S. Chen An empirical study of two typical locality preserving linear discriminant analysis methods NeuroComputing 73 1012 2010 1587 1594
21. B. Scholkopf, S. Mika, C.J.C. Burges, P. Knirsch, K.R. Muller, G. Ratsch, and A.J. Smola Input space versus feature space in kernel-based methods IEEE Transactions on Neural Networks 10 5 2002 1000 1017
22. M. Setnes, and R. Babuska Fuzzy relational classifier trained by fuzzy clustering IEEE Transactions on Systems, Man, and Cybernetics, Part B 29 5 2002 619 625
23. H. Xiong, M.N.S. Swamy, and M.O. Ahmad Optimizing the kernel in the empirical feature space IEEE Transactions on Neural Networks 16 2 2005 460 474 (Pubitemid 40390828)
24. H. Xue, S. Chen, and Q. Yang Discriminatively regularized least-squares classification Pattern Recognition 42 1 2009 93 104
25. Z.R. Yang A novel radial basis function neural network for discriminant analysis IEEE Transactions on Neural Networks 17 3 2006 604 612
26. N. Ye, and X. Li A scalable, incremental learning algorithm for classification problems Computers and Industrial Engineering 43 4 2002 677 692 (Pubitemid 34991783)