Multi-modal data fusion: A description

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

Volumn 3214, Issue , 2004, Pages 1136-1142

  Coppock, Sarah ^a   Mazlack, Lawrence J ^a  

^a University of Cincinnati   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA FUSION; KNOWLEDGE BASED SYSTEMS; MODAL ANALYSIS;

AGGLOMERATIVE HIERARCHICAL CLUSTERING; CLUSTERING DATA; DATA CHARACTERISTICS; MIXED TYPE; MULTI-MODAL DATA; ORDINAL DATA; S-METRIC;

CLUSTERING ALGORITHMS;

EID: 33751076483     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30133-2_151     Document Type: Article

References (14)

1. Everitt, B.: Cluster Analysis. 3rd ed. Hodder & Stoughton London (1993)
2. Han, J. and Kamber, M.: Data Mining: Concepts and Techniques. Morgan Kaufman, San Diego. (2001)
3. Jain, A. K. and Dubes, R. C.: Algorithms for Clustering Data. Prentice Hall, New Jersey. (1988)
4. Sneath, P. and Sokal, R.: Numerical Taxonomy. Freeman and Company, San Fransisco. (1973)
5. Ganti, V., Gehrke, J., and Ramakrishnan, R.: CACTUS: Clustering Categorical Data Using Summaries, in Knowledge Discovery and Data Mining. (1999) 73-83
6. Gibson, D., Kleinberg, J., and Raghavan, P.: Clustering Categorical Data: an Approach Based on Dynamical Systems, in Proceedings of the 24th VLDB Conference. 8:3/4 (2000) 222-230
7. Guha, S., Rastogi, R., and Shim, K.,: ROCK: A Robust Clustering Algorithm for Categorical Attributes, in Information Systems, 25:5 (2000) 345-360
8. Han, E., Karypis, G., Kumar, V., and Mobasher, B.: Clustering Based on Association Rule Hypergraphs. in Proceedings of SIGMOD '97 Workshop on Research Issues in Data Mining and Knowledge Discovery (DMKD'97) (May 1997)
9. Gower, J. C.: A General Coefficient of Similarity and Some of Its Properties. Biometrics. 27:4 (1971) 857-871
10. Li, C. and Biswas, G.: Conceptual Clustering with Numeric-and-Nominal Mixed Data: A New Similarity Based System. IEEE Transcript on KCE 1998. (1998)
11. Goodall, D.: A New Similarity Index Based On Probability, in Biometrics. 22:4 (1960) 882-907
12. Salvador, S. and Chen, P.: Determining the Number of Clusters/Segments in Hierarchical Clustering/Segmentation Algorithms. Florida Institute of Technology (2003) 8 pages
13. Huang, Z. and Ng, M.K.: A Fuzzy k-Modes Algorithm for Clustering Categorical Data. IEEE Transactions on Fuzzy Systems 7:4 (1999) 446-452
14. Ganesan, P., Garcia-Molina, H. and Widom, J.: Exploiting Hierarchical Domain Structure to Compute Similarity. ACM Transactions on Information Systems, 21:1 (2003) 64-93