An adaptive meta-clustering approach: Combining the information from different clustering results

Proceedings - IEEE Computer Society Bioinformatics Conference, CSB 2002

Volumn , Issue , 2002, Pages 276-287

  Zeng, Yujing ^a   Tang, Jianshan ^a   Garcia Frias, J ^a   Gao, G R ^a  

^a UNIVERSITY OF DELAWARE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS; CLUSTER ANALYSIS; INFORMATION RETRIEVAL;

CLUSTERING APPROACH; CLUSTERING RESULTS; CLUSTERING TECHNIQUES; DATA DISTRIBUTION; DISTANCE MEASURE; EXTRACT INFORMATIONS; HIGH-THROUGHPUT DATA; PRIOR KNOWLEDGE;

CLUSTERING ALGORITHMS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; COMPARATIVE STUDY; DNA MICROARRAY; DNA SEQUENCE; EVALUATION; GENE EXPRESSION PROFILING; METHODOLOGY; SEQUENCE ALIGNMENT; VALIDATION STUDY;

ALGORITHMS; CLUSTER ANALYSIS; GENE EXPRESSION PROFILING; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, DNA;

EID: 13444252181     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSB.2002.1039350     Document Type: Conference Paper

References (22)

1. Fisher, "The use of multiple measurements in taxonomic problems", Annual Eugenics, 7, part II, 1936, pp. 179-188.
2. McQueen, "Some methods for classification and analysis of multivariate observations", In Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, 1967, pp. 281-297.
3. Dunn, "Well separated clusters and optimal fuzzy partitions", Journal of Cybernetics, 4, 1974, pp. 95-204.
4. Davies and Bouldin, "A cluster separation measure", IEEE Trans. Patt. Anal. Machine Intell., vol. PAMI-1, Apr., 1979, pp. 224-227.
5. nd ed., Academic Press, 1990
6. Rasmussen, "Clustering Algorithms. In W. B. Frakes & R. Baeza-Yates (Eds.)", Information Retrieval: Data Structures and Algorithms. Englewood Cliffs, N. J.:Prentice Hall, 1992
7. Eisen, Spellman, et al., "Clustering analysis and display of genome-wide expression patterns" Proc. Natl Acad. Sci. USA (95), 1998, pp. 14863-14868.
8. Tibshirani, Hastie, et al., "Clustering methods for the analysis of DNA microarray data", Technical Report, Division of Biostatistics, Stanford University, 1999.
9. Tamayo, Slonim, et al., "Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation", Proc. Natl Acad. Sci. USA. (96), 1999, pp.2907-2912.
10. Baraldi, Schenato, "Soft-to-hard model transition in clustering: a review", Technical Report, 1999.
11. Jain, Murty, and Flynn, "Data Clustering: a Review", ACM Computing Surveys, Vol. 31, No. 3, September 1999.
12. Hoppner, Klawwonn, et al., Fuzzy Cluster Analysis: Methods for Classification Data Analysis and Image Recognition, John Wiley & Sons Ltd, 1999.
13. Tavazoie, Hughes, et al., "Systematic determination of genetic network architecture", Nature Genetics, 22,1999, pp. 281-285.
14. Getz, Levine, and Domany, "Coupled two-way clustering analysis of gene microarray data", Proc. Natl. Acad. Sci. USA vol.97, no.22, 2000, pp. 12079-12084.
15. Brown et al., "Knowledge-based analysis of microarray gene expression data using support vector machines", Proceedings of the National Academy of Science USA 97(1), 2000, pp. 262-267.
16. Vesanto and Alhoniemi, "Clustering of the self-organizing map", IEEE Trans. on Neural Network, vol.11, no.3, 2000, pp. 586-600.
17. Hastie, Tibshirani, Eisen, et al., "Gene Shaving: a New Class of Clustering Methods for Expression Arrays", Technical report, 2000.
18. Zoller and Buhmann, "Active Learning for Hierarchical Pairwise Data Clustering", Proc. of the International Conference on Pattern Recognition(ICPR'00), vol.2, 2000, pp. 186-189.
19. Gunter and Bunke, "Validation Indices for Graph Clustering", Proc. 3rd IAPR-TC15 Workshop on Graph-based Representations in Pattern Recognition, 2001, 229-238.
20. Sherlock, Herandez-Boussard, et al., "The Stanford Microarray Database", Nucleic Acids Research, 2001, vol. 29, pp.152-5.
21. Barash and Friedman, "Context-specific Bayesian clustering for gene expression data", In T. Lengauer et al. (Eds.) RECOMB 2001, Proceedings of the Fifth Annual International Conference on Computational Biology, Montreal, Canada, pp. 12-21.
22. http://www.silicongenetics.com.