Multi-objective clustering ensemble with prior knowledge

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4643 LNBI, Issue , 2007, Pages 34-45

  Faceli, Katti ^a   De Carvalho, André C P L F ^a   De Souto, Marcilio C P ^b  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b FEDERAL UNIVERSITY OF RIO GRANDE DO NORTE   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; DATA STRUCTURES; KNOWLEDGE MANAGEMENT;

OBJECTIVE FUNCTIONS; SEMI SUPERVISED CLUSTERING METHODS;

CLUSTER ANALYSIS;

EID: 38049020624     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-73731-5_4     Document Type: Conference Paper

References (20)

1. Narayanan, E.K.A.: Aintelligent Bioinformatics: The Application of Artificial Intelligence Techniques to Bioinformatics Problems. John Wiley & Sons, Chichester (2005)
2. Wang, J.T.L., Zaki, M.J., Toivonen, H.T.T., Shasha, D.E. (eds.): Data Mining in Bioinformatics. Advanced Information and Knowledge Processing. Springer, Heidelberg (2003)
3. Yeoh, E.J., et al.: Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling. Cancer Cell 1(2), 133-143 (2002)
4. Golub, T., et al.: Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring. Science 286(5439), 531-537 (1999)
5. Alizadeh, A., et al: Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature 403(6769), 503-511 (2000)
6. Demiriz, A., Bennett, K.P., Embrechts, M.J.: Semi-supervised clustering using genetic algorithms. In: Artificial Neural Networks in Engineering (ANNIE'1999), pp. 809-814 (1999)
7. Handl, J., Knowles, J.: On semi-supervised clustering via multiobjective optimization. In: Proceedings of the 8th annual conference on Genetic and evolutionary computation (GECCO'2006), pp. 1465-1472. ACM Press, New York, NY, USA (2006)
8. Xu, R., Wunsch, D.: Survey of clustering algorithms. IEEE Transactions on Neural Networks 16(3), 645-678 (2005)
9. Law, M., Topchy, A., Jain, A.K.: Multiobjective data clustering. In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 424-430. IEEE Computer Society Press, Los Alamitos (2004)
10. Jain, A., Dubes, R.: Algorithms for Clustering Data. Prentice-Hall, Englewood Cliffs (1988)
11. Handl, J., Knowles, J., Kell, D.: Computational cluster validation in post-genomic data analysis. Bioinformatics 21(15), 3201-3212 (2005)
12. Handl, J., Knowles, J.: An evolutionary approach to multiobjective clustering. IEEE Transactions on Evolutionary Computation 11(1), 56-76 (2007)
13. Strehl, A., Ghosh, J.: Cluster ensembles - a knowledge reuse framework for combining multiple partitions. Journal on Machine Learning Research 3, 583-617 (2002)
14. Faceli, K., Carvalho, A., Souto, M.: Multi-objective clustering ensemble. In: Proceedings of the 6th International Conference on Hybrid Intelligent Systems (HIS'2006), Auckland, New Zealand, p. 51. IEEE Computer Society Press, Los Alamitos (2006)
15. Breiman, L.: Technical note: some properties of splitting criteria. Machine Learning 24(1), 41-47 (1996)
16. Deb, K., Pratap, A., Agarwal, S., Meyrivan, T.: A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation 6(2), 182-197 (2002)
17. Fern, X.Z., Brodley, C.E.: Solving cluster ensemble problems by bipartite graph partitioning. In: Proceedings of the Twenty-first International Conference on Machine Learning (ICML'2004), p. 36. ACM Press, New York, NY, USA (2004)
18. Raileanu, L.E., Stoffel, K.: Theoretical comparison between the Gini index and information gain criteria. Annals of Mathematics and Artificial Intelligence 1(41), 77-93 (2004)
19. Ertöz, L., Steinbach, M., Kumar, V.: A new shared nearest neighbor clustering algorithm and its applications. In: Proceedings of the Workshop on Clustering High Dimensional Data and its Applications. 2nd SIAM International Conference on Data Mining (SDM'2002), pp. 105-115 (2002)
20. Demšar, J.: Statistical comparisons of classifiers over multiple data sets. JMLR 7, 1-30 (2006)