Simultaneous Dempster-Shafer clustering and gradual determination of number of clusters using a neural network structure

IDC 1999 - 1999 Information, Decision and Control, Data and Information Fusion Symposium, Signal Processing and Communications Symposium and Decision and Control Symposium: Proceedings

Volumn , Issue , 1999, Pages 401-406

  Schubert, J ^a  

^a SWEDISH DEFENCE RESEARCH AGENCY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING ALGORITHMS; ITERATIVE METHODS; PROBABILITY DISTRIBUTIONS; SIGNAL PROCESSING;

CLUSTERING PROCESS; DEMPSTER-SHAFER; DEMPSTER-SHAFER THEORY; FIXED NUMBERS; NEURAL NETWORK STRUCTURES; NEURAL STRUCTURES; NUMBER OF CLUSTERS; OUTPUT SIGNAL;

FORMAL LOGIC;

EID: 33847150619     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IDC.1999.754191     Document Type: Conference Paper

References (12)

1. G. Shafer, A Mathematical Theory of Evidence, Princeton University Press, Princeton, 1976.
2. J. Schubert, "Fast Dempster-Shafer Clustering Using a Neural Network Structure, " in Proc. Seventh Int. Conf. Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU98), pp. 1438-1445, Universitk de La Sorbonne, Paris, France, 6-10 July 1998, Editions EDK, Paris, 1998.
3. J. Schubert, "On Nonspecific Evidence, " Int. J. Intell. Syst., Vol8, pp. 711-725.
4. J. Schubert, "Specifying Nonspecific Evidence, " Int. J. Intell. Syst., Vol 11, pp. 525-563.
5. J. Schubert, "Finding a Posterior Domain Probability Distribution by Specifying Nonspecific Evidence, " Int. J. Uncertainty, Fuzziness and Knowledge-Based Syst., Vol 3, pp. 163-185.
6. J. Schubert, "Cluster-based Specification Techniques in Dempster-Shafer Theory, " in Symbolic and Quantitative Approaches to Reasoning and Uncertainty, Proc. European Conf. (ECSQARU95), pp. 395-404, University of Fribourg, Switzerland, 3-5 July 1995, Springer-Verlag (LNAI 946), Berlin, 1995.
7. J. Schubert, "Creating Prototypes for Fast Classification in Dempster-Shafer Clustering, in Qualitative and Quantitative Practical Reasoning, Proc. First Int. Joint Conf. (ECSQARU-FAPR97), pp. 525-535, Bad Honnef, Germany, 9-12 June 1997, Springer-Verlag (LNAI 1244), Berlin, 1997.
8. J. Schubert, "A Neural Network and Iterative Optimization Hybrid for Dempster-Shafer Clustering, in Proc. EuroFusion98 Int. Conf. Data Fusion, pp. 29-36, Great Malvem, UK, 6-7 October 1998.
9. J.J. Hopfield, and D.W. Tank, "Neural Computation of Decisions in Optimization Problems, " Biol. Cybem., Vol52, pp. 141-152.
10. U. Bergsten, J. Schubert, and P. Svensson, "Applying Data Mining and Machine Learning Techniques to Submarine Intelligence Analysis, " in Proc. Third Int. Conf. on Knowledge Discovery and Data Mining (KDD97), pp. 127-130, Newport Beach, USA, 14-17 August 1997, The AAAI Press, Menlo Park, 1997.
11. J. Schubert, Cluster-based Specification Techniques in Dempster-Shafer Theory for an Evidential Intelligence Analysis of Multiple Target Tracks, Ph.D. Thesis, TRITANA-9410, Royal Institute of Technology, Sweden, 1994, ISRN KTW"-94110-SE, ISSN 0348-2952, ISBN 91-7 170-801-4.
12. J. Schubert, "Cluster-based Specification Techniques in Dempster-Shafer Theory for an Evidential Intelligence Analysis of Multiple Target Tracks (Thesis Abstract), " AI Communications, Vol8, pp. 107-110.