1 |
A. L. N. Fred, A. K. Jain, Robust Data Clustering, Proceeding of IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 128-133, 2003
|
2 |
B. Ribeiro, On Data Based Learning using Support Vector Clustering, Proceeding of the 9th International Conference on Neural Information Processing, vol. 5, pp. 2516-2521, 2002
|
3 |
J. Wang, X. Wu, C. Zhang, Support vector machine based on K-means clustering for real-time business intelligence systems, International Journal of Business Intelligence and Data Mining, vol. 1, no. 1, pp. 54-64, 2005
DOI
|
4 |
A. E. Eiben, J. E. Smith, Introduction to Evolutionary Computing, Springer, 2003
|
5 |
T. M. Mitchell, Machine Learning, McGraw-Hill, 1997
|
6 |
P. Ling, Y. Wang, N. Lu, J. Y. Wang, S. Liang, C. G. Zhou, Two-Phase Support Vector Clustering for Multi-Relational Data Mining, Proceeding of the International Conference on Cyber-worlds, 2005
|
7 |
UCI Machine Learning Repository, http://www.ics.uci.edu/-mlearn/MLRepository.html
|
8 |
W. L. Martinez, A. R. Martinez, Computational Statistics Handbook with MATRAB, Chapman & Hall, 2002
|
9 |
B. S. Everitt, S. Landau, M. Leese, Cluster Analysis, Arnold, 2001
|
10 |
A. Ben-Hur, D. Horn, H. T. Siegelmann, V. Vapnik, Support Vector Clustering, Journal of Machine Learning Research, vol. 2, pp. 125-137, 2001
DOI
|
11 |
J. C. Chiang, J. S. Wang, A Validity-Guided Support Vector Clustering Algorithm for Identification of Optimal Cluster Configuration, Proceeding of IEEE International Conference on Systems, Man and Cybernetics, pp. 3613-3618, 2004
|
12 |
J. Han, M. Kamber, Data Mining Concepts and Techniques, Morgan Kaufmann, 2001
|
13 |
S. H. Jun, Web Usage Mining Using Evolutionary Support Vector Machine, Lecture Note in Artificial Intelligence, vol. 3809, pp. 1015-1020, 2005
|
14 |
K. Krishna, K. Narasimha Murty, Genetic K-means algorithm, Proceeding of IEEE Transactions on Systems, Man and Cybernetics, Part B, vol. 29, no. 3, pp. 433-439, 1999
DOI
ScienceOn
|
15 |
G. Mclachlan, D. Peel, Finite Mixture Models, John Wiley & Sons, 2000
|
16 |
L. Y. Tseng, S. B. Yang, Genetic Algorithms for Clustering, Feature Selection and Classification, Proceeding of International Conference on Neural Networks, vol. 3, pp. 1612-1616, 1997
|
17 |
S. H. Jun, K. W. Oh, A Competitive Co-Evolving Support Vector Clustering, Lecture Note in Computer Science, vol. 4232, pp. 864-873, 2006
DOI
ScienceOn
|
18 |
A. C. Davison, Bootstrap methods and their application, Cambridge University Press, 1997
|
19 |
V. Vapnik, Statistical Learning Theory, John Wiley & Sons, 1998
|
20 |
P. Giudici, Applied Data Mining, Wiley, 2003
|
21 |
J. Lee, D. Lee, An Improved Cluster Labeling Method for Support Vector Clustering, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 3, pp. 461-464, 2005
DOI
ScienceOn
|
22 |
B. Y. Sun, D. S. Huang, Support Vector Clustering for Multiclass Classification Problems, Proceeding of IEEE Evolutionary Computation Congress, vol. 2, pp. 1480-1485, 2003
|