Unveiling intrinsic similarity - Application to temporal analysis of ECG

BIOSIGNALS 2008 - Proceedings of the 1st International Conference on Bio-inspired Systems and Signal Processing

Volumn 2, Issue , 2008, Pages 104-109

  Lourenço, André ^a   Fred, Ana ^b  

^a INSTITUTO SUPERIOR DE ENGENHARIA DE LISBOA   (Portugal)

^b INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

Behavior identification; Clustering; Co association matrix; ECG analysis; Evidence accumulation clustering; Unsupervised learning; Visualization

Indexed keywords

COBALT; COBALT COMPOUNDS; DATA VISUALIZATION; ELECTRIC CURRENTS; ELECTROCARDIOGRAPHY; ELECTROCHROMIC DEVICES; FLOW OF SOLIDS; HUMAN COMPUTER INTERACTION; LEARNING ALGORITHMS; MINING; SIGNAL PROCESSING; UNSUPERVISED LEARNING; VISUALIZATION;

BEHAVIOR IDENTIFICATION; CLUSTERING; CO-ASSOCIATION MATRIX; ECG ANALYSIS; EVIDENCE ACCUMULATION CLUSTERING;

CLUSTER ANALYSIS;

EID: 55649115745     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Bezdek, J. and Hathaway, R. (2002). Vat: A tool for visual assessment of (cluster) tendency. In Press, I., editor, IJCNN 2002, pages 2225-2230.
2. Cox, T. F. and Cox, M. A. A. (1994). Multidimensional Scaling. Chapman and Hall.
3. de Leeuw, J. (2000). Multidimensional scaling. Dep. of Statistics, UCLA. Paper 2000010108.
4. Fred, A. (2001). Finding consistent clusters in data partitions. In Kittler, J. and Roli, F., editors, Multiple Classifier Systems, volume 2096, pages 309-318. Springer.
5. Fred, A. (2002). Pattern Recognition and String Matching, chapter Similarity measures and clustering of string patterns. Kluwer Academic.
6. Fred, A. and Jain, A. (2002). Data clustering using evidence accumulation. In Proc. of the 16th Int'l Conference on Pattern Recognition, pages 276-280.
7. Fred, A. and Jain, A. (2005). Combining multiple clustering using evidence accumulation. IEEE Trans Pattern Analysis and Machine Intelligence, 27(6):835-850.
8. Fred, A. and Jain, A. (2006). Learning pairwise similarity for data clustering. In Proc. of the 18th Int'l Conference on Pattern Recognition (ICPR), volume 1, pages 925-928, Hong Kong.
9. Jain, A. and Dubes, R. (1988). Algorithms for Clustering Data. Prentice Hall.
10. Pekalska, E. and Duin, R. P. W. (2003). The Dissimilarity Representation for Pattern Recognition: Foundations And Applications. World Sci. Pub. Company.
11. Post, F. H., Nielson, G. M., and Bonneau, G.-P., editors (2003). Data Visualization: The State of the Art. Kluwer.
12. Silva, H., Gamboa, H., and Fred, A. L. N. (2007). One lead ecg based human identification with feature subspace ensembles. In Proc Machine Learning and Data Mining in Pattern Recognition, pages 770-783, Leipzig, Germany.
13. Strehl, A. and Ghosh, J. (2002). Cluster ensembles - a knowledge reuse framework for combining multiple partitions. J. of Machine Learning Research 3.
14. Topchy, A., Jain, A., and Punch, W. (2004). A mixture model of clustering ensembles. In Proceedings SIAM Conf. on Data Mining.
15. Treinish, L. A. and Goettsche, C. (1989). Correlative visualization techniques for multidimensional data. Technical report, National Space Science Data Center NSSDC-NASA.