A comparative study of self-organizing clustering algorithms dignet and ART 2

Neural Networks

Volumn 10, Issue 4, 1997, Pages 737-753

  Wann, Chin Der ^a   Thomopoulos, Stelios C A ^a  

^a INTELNET Inc   (United States)

Author keywords

ART2; Clustering; Dignet; Fast learning; Neural networks; Pattern recognition; Self organization; Unsupervised learning

Indexed keywords

ALGORITHMS; COMPUTER ARCHITECTURE; COMPUTER SIMULATION; LEARNING SYSTEMS; MATHEMATICAL MODELS; PATTERN RECOGNITION; SIGNAL TO NOISE RATIO; SPURIOUS SIGNAL NOISE; STATISTICAL METHODS;

UNSUPERVISED LEARNING;

NEURAL NETWORKS;

ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; LEARNING; MATHEMATICAL MODEL; PATTERN RECOGNITION; PRIORITY JOURNAL;

EID: 0031171225     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0893-6080(96)00084-6     Document Type: Article

References (25)

1. Ball, G., & Hall, D. (1965). Isodata: A novel method of data analysis and pattern classification (AD699616). Menlo Park, CA: Stanford Research Institute.
2. Burke, L.I. (1991). Clustering characterization of adaptive resonance. Neural Networks, 4, 485-491.
3. Carpenter, G.A., & Grossberg, S. (1987). A massively parallel architecture for a self-organizing neural pattern recognition machine. Computer Vision, Graphics, and Image Processing, 37, 54-115.
4. Carpenter, G.A., & Grossberg, S. (1987). ART 2: Self-organization of stable category recognition codes for analog input patterns. Applied Optics, 26, 4919-4930.
5. Carpenter, G.A., & Grossberg, S. (1988). The ART of adaptive pattern recognition by a self-organizing neural network. Computer Magazine, 3, 77-88.
6. Carpenter, G.A., Grossberg, S., & Rosen, D.B. (1991). ART 2-A: An adaptive resonance algorithm for rapid category learning and recognition. Neural Networks, 4, 493-504.
7. DARPA (1988). DARPA Neural Network Study. Fairfax, VA: AFCEA International Press.
8. Fukunaga, K. (1990). Introduction to statistical pattern recognition. San Diego, CA: Academic Press.
9. Hopfield, J.J. (1982). Neural networks and physical systems with emergent collective computational abilities. Proceedings of the National Academy of Science of the United States of America, 79, 2554-2558.
10. Kohonen, T. (1988). Self-organization and associative memory. New York: Springer-Verlag.
11. Kohonen, T. (1990). The self-organizing map. Proceedings of the IEEE, special issue on neural networks I: theory & modeling, 78(9), 1464-1480.
12. Lippmann, R.P. (1987). An introduction to computing with neural nets. IEEE ASSP Magazine, 4, 4-22.
13. Makhoul, J., Roucos, S., & Gish, H. (1985). Vector quantization in speech coding. Proceedings of the IEEE, 73 (11), 1551-1588.
14. Moody, J., & Darken, C. (1988). Learning with localized receptive fields. Proceedings of Connectionist Models Summer School, (pp. 133-143). San Meteo, CA: Morgan Kaufmann Publications.
15. Pal, N.R., Bezdek, J.C., & Tsao, E.C.-K. (1993), Generalized clustering networks and kohonen's self-organizing scheme. IEEE Transactions on Neural Networks, 4(4), 549-557.
16. Rumelhart, D.E., McClelland, J.L., & the PDP Research Group (1986). Parallel distributed processing: Explorations in the microstructure of cognition, Vol. 1: Foundations. Cambridge, MA: MIT Press.
17. Schalkoff, R. (1992). Pattern recognition: statistical, structural and neural approaches. New York: John Wiley.
18. Snorrason, M., & Caglayan, A.K. (1994). Generalized ART2 Algorithms. IEEE Proceedings of the 1994 World Congress on Neural Networks (San Diego), IV-240-245.
19. Thomopoulos, S.C.A., & Bougoulias, D.K. (1991a). Dignet: A self-organizing neural network for automatic pattern recognition and classification. IEEE Proceedings of International the Joint Conference on Neural Networks (Singapore), (pp. 2683-2692).
20. Thomopoulos, S.C.A., & Bougoulias, D. K. (1991b). Dignet: A self-organizing neural network for automatic pattern recognition, classification, and data fusion. SPIE's Proceedings on Sensor fusion IV: control paradigms and data structures (Boston, MA), 1611, 478-495.
21. Thomopoulos, S.C.A., & Wann, C.-D. (1993). Clustering with unsupervised neural networks with applications to data fusion. SPIE's Proceedings on Sensor Fusion and System Integration (Innsbruck, Austria), International Symposium on Substance Identification Technologies, 2093.
22. Thomopoulos, S.C.A., Bougoulias, D.K., & Wann, C.-D. (1995). Dignet: An unsupervised learning algorithm for clustering and data fusion. IEEE Transactions on Aerospace and Electronic Systems, AES-31(1), 21-38.
23. Tou, J.T., & Gonzalez, R.C. (1974). Pattern recognition principles. Reading, MA: Addison-Wesley.
24. Wann, C.D., & Thomopoulos, S.C.A. (1995, June). Unsupervised learning neural networks with applications to datafusion. Paper presented at the American Control Conference, Baltimore, MD.
25. Widrow, B., & Lehr, M. A. (1990). 30 years of adaptive neural networks: Perception, madaline, and backpropagation. Proceedings of the IEEE, special issue on neural networks I: theory & modeling, 78(9), 1415-1442.