-
1
-
-
0032784636
-
Neural maps and topographic vector quantization
-
Bauer, H.-U., Herrmann, M., & Villmann, T. (1999). Neural maps and topographic vector quantization. Neural Networks, v. 12, [4-5], pp. 659-676.
-
(1999)
Neural Networks
, vol.12
, Issue.4-5
, pp. 659-676
-
-
Bauer, H.-U.1
Herrmann, M.2
Villmann, T.3
-
3
-
-
2242429406
-
Trends in Data Mining and Knowledge Discovery
-
Pal, N.R. et al, Eds, Springer
-
Cios, K. J., & Kurgan, L. (2002), Trends in Data Mining and Knowledge Discovery, In: Pal, N.R. et al. (Eds.), Knowledge Discovery in Advanced Information Systems, Springer.
-
(2002)
Knowledge Discovery in Advanced Information Systems
-
-
Cios, K.J.1
Kurgan, L.2
-
5
-
-
0033147369
-
Estimating the Number of Clusters in Multivariate Data by Self-Organizing Maps
-
Costa, J.A.F. and Netto, M.L.A. (1999a). Estimating the Number of Clusters in Multivariate Data by Self-Organizing Maps. Intl. Journal of Neural Systems, vol. 9, pp. 195-202.
-
(1999)
Intl. Journal of Neural Systems
, vol.9
, pp. 195-202
-
-
Costa, J.A.F.1
Netto, M.L.A.2
-
6
-
-
18744432741
-
Cluster Analysis Using Self-Organizing Maps and Image Processing Techniques
-
Tokyo, Japan
-
Costa, J.A.F., & Netto, M. L. A. (1999b). Cluster Analysis Using Self-Organizing Maps and Image Processing Techniques. In: Proc. of the IEEE Conf. on Systems, Man, and Cybernetics, v. 5, pp. 367-372, Tokyo, Japan.
-
(1999)
Proc. of the IEEE Conf. on Systems, Man, and Cybernetics
, vol.5
, pp. 367-372
-
-
Costa, J.A.F.1
Netto, M.L.A.2
-
7
-
-
0034875081
-
A new tree-structured self-organizing map for data analysis
-
Washington, DC, pp
-
Costa, J.A.F. and Netto, M.L.A. (2001a). A new tree-structured self-organizing map for data analysis. In: Proc. of the Intl. Joint Conf. on Neural Networks, Washington, DC, pp. 1931-1936.
-
(2001)
Proc. of the Intl. Joint Conf. on Neural Networks
, pp. 1931-1936
-
-
Costa, J.A.F.1
Netto, M.L.A.2
-
8
-
-
0034945862
-
Clustering of complex shaped data sets via Kohonen maps and mathematical morphology
-
Costa, J.A.F., and Netto, M. L. A. (2001b). Clustering of complex shaped data sets via Kohonen maps and mathematical morphology. Proceedings of the SPIE, vol. 4384, pp. 16-27.
-
(2001)
Proceedings of the SPIE
, vol.4384
, pp. 16-27
-
-
Costa, J.A.F.1
Netto, M.L.A.2
-
9
-
-
84858358470
-
Segmentação automática de mapas de Kohonen
-
Natal, RN, pp
-
Costa, J.A.F., e Netto, M.L.A. (2002). Segmentação automática de mapas de Kohonen. Congresso Brasileiro de Automática, Natal, RN, pp. 1607-1613.
-
(2002)
Congresso Brasileiro de Automática
, pp. 1607-1613
-
-
Costa, J.A.F.1
Netto, M.L.A.2
-
11
-
-
84858363752
-
-
Costa, J.A.F. (2005). Segmentação do SOM por Métodos de Agrupamentos Hierárquicos com Conectividade Restrita. VII Congresso Brasileiro de Redes Neurais, Natal, RN, outubro de 2005.
-
Costa, J.A.F. (2005). Segmentação do SOM por Métodos de Agrupamentos Hierárquicos com Conectividade Restrita. VII Congresso Brasileiro de Redes Neurais, Natal, RN, outubro de 2005.
-
-
-
-
12
-
-
0742303474
-
The Image Foresting Transform: Theory, Algorithms and Applications
-
Falcão, A.X., Stolfi, J., and Lotufo, R.A. (2004). The Image Foresting Transform: Theory, Algorithms and Applications. IEEE Trans, on Pattern Analysis and Machine Intelligence, v. 26, 1, pp.19-29.
-
(2004)
IEEE Trans, on Pattern Analysis and Machine Intelligence
, vol.26
, Issue.1
, pp. 19-29
-
-
Falcão, A.X.1
Stolfi, J.2
Lotufo, R.A.3
-
13
-
-
0000171332
-
Limitations of Self-organizing Maps for Vector Quantization and Multidimensional Scaling
-
Mozer M.C, et al.eds, MIT Press, pp
-
Flexer, A. (1997). Limitations of Self-organizing Maps for Vector Quantization and Multidimensional Scaling, in Mozer M.C., et al.(eds.), Advances in Neural Information Processing Systems 9, MIT Press, pp. 445-451.
-
(1997)
Advances in Neural Information Processing Systems 9
, pp. 445-451
-
-
Flexer, A.1
-
14
-
-
33745685531
-
Automatic Remotely Sensed Data Clustering by Tree-Structured Self-Organizing Maps
-
July, Seoul, Korea
-
Gonçalves, M., Netto, M.L.A., Costa, J.A.F., e Zullo, J. (2005). Automatic Remotely Sensed Data Clustering by Tree-Structured Self-Organizing Maps. In: IGARSS'05 (2005 IEEE International Geoscience and Remote Sensing Symposium), July, 25-29 Seoul, Korea.
-
(2005)
IGARSS'05 (2005 IEEE International Geoscience and Remote Sensing Symposium)
, pp. 25-29
-
-
Gonçalves, M.1
Netto, M.L.A.2
Costa, J.A.F.3
Zullo, J.4
-
15
-
-
40649091400
-
Data Clustering using Self-Organizing Maps segmented by Mathematic Morphology and Simplified Cluster Validity Indexes: An application in remotely sensed image
-
Vancouver, BC, Canada. Accepted
-
Gonçalves, M., Netto, M., Costa, J.A.F., and Zullo, J. (2006). Data Clustering using Self-Organizing Maps segmented by Mathematic Morphology and Simplified Cluster Validity Indexes: an application in remotely sensed image. In: 2006 IEEE International Joint Conference on Neural Networks, Vancouver, BC, Canada. Accepted.
-
(2006)
2006 IEEE International Joint Conference on Neural Networks
-
-
Gonçalves, M.1
Netto, M.2
Costa, J.A.F.3
Zullo, J.4
-
17
-
-
0029727599
-
Topology preservation in SelfOrganizing Maps
-
Kiviluoto, K. (1996). Topology preservation in SelfOrganizing Maps. In: Proc. IEEE Intl. Conf. on Neural Networks, v. 1, pp. 249-254.
-
(1996)
Proc. IEEE Intl. Conf. on Neural Networks
, vol.1
, pp. 249-254
-
-
Kiviluoto, K.1
-
19
-
-
0002855504
-
The Ordered Queue and the Optimality of the Watershed Approaches
-
Boston, MA: Kluwer. June
-
Lotufo, R. and Falcao, A. (2000). The Ordered Queue and the Optimality of the Watershed Approaches, in: Computational Imaging and Vision, vol. 18. Boston, MA: Kluwer. June.
-
(2000)
Computational Imaging and Vision
, vol.18
-
-
Lotufo, R.1
Falcao, A.2
-
20
-
-
0010421320
-
Computation of watersheds based on parallel graph algorithms
-
Maragos, P. et al, Eds, Boston, MA: Kluwer
-
Meijster, A. & Roerdink, J. B. (1996). Computation of watersheds based on parallel graph algorithms. In: Maragos, P. et al. (Eds). Mathematical Morphology and its Applications to Image and Signal Processing, pp. 305-312. Boston, MA: Kluwer.
-
(1996)
Mathematical Morphology and its Applications to Image and Signal Processing
, pp. 305-312
-
-
Meijster, A.1
Roerdink, J.B.2
-
21
-
-
0005983330
-
Clustering massive data sets
-
J. Abello et al, Eds, Kluwer
-
Murtagh, F. (2000). Clustering massive data sets, in J. Abello et al. (Eds.), Handbook of Massive Data Sets, Kluwer.
-
(2000)
Handbook of Massive Data Sets
-
-
Murtagh, F.1
-
22
-
-
84887006810
-
A Non-Linear Mapping for Data Structure Analysis
-
Sammon, J. W. (1969). A Non-Linear Mapping for Data Structure Analysis. IEEE Trans. in Computers, v. 18, pp. 401-409.
-
(1969)
IEEE Trans. in Computers
, vol.18
, pp. 401-409
-
-
Sammon, J.W.1
-
23
-
-
34250926052
-
The analysis of proximity: Multidimensional scaling with an unknown distance function I
-
Shepard, N. R. (1962). The analysis of proximity: multidimensional scaling with an unknown distance function I. Psychometrika, v.27, 125-139.
-
(1962)
Psychometrika
, vol.27
, pp. 125-139
-
-
Shepard, N.R.1
-
24
-
-
84858355746
-
Semi-Automatic Geospatial Data Clustering by SelfOrganizing Maps
-
Silva, M.A.S., Monteiro, A.M.V., and Medeiros, J.S. (2004). Semi-Automatic Geospatial Data Clustering by SelfOrganizing Maps. In: Anais do Simpósio Brasileiro de Redes Neurais, São Luiz, MA, outubro de 2004.
-
(2004)
Anais do Simpósio Brasileiro de Redes Neurais, São Luiz, MA, outubro de
-
-
Silva, M.A.S.1
Monteiro, A.M.V.2
Medeiros, J.S.3
-
25
-
-
3142551753
-
Considerations of geometrical and fractal dimension of SOM to get better learning results
-
Speckmann, H., Raddatz, G. & Rosenstiel, W. (1994). Considerations of geometrical and fractal dimension of SOM to get better learning results. In: Proc. ICANN'94, Int. Conf. on Artificial Neural Networks, vol. I, pp. 342-345.
-
(1994)
Proc. ICANN'94, Int. Conf. on Artificial Neural Networks
, vol.1
, pp. 342-345
-
-
Speckmann, H.1
Raddatz, G.2
Rosenstiel, W.3
-
26
-
-
84950351930
-
Multidimensional Scaling I. Theory and Method
-
Torgerson, W. S. (1952). Multidimensional Scaling I. Theory and Method. Psychometrika, vol. 17, pp. 401-419.
-
(1952)
Psychometrika
, vol.17
, pp. 401-419
-
-
Torgerson, W.S.1
-
27
-
-
0002535204
-
Self-Organizing Neural Networks for Visualization and Classification
-
O. Opitz et al, Eds, Springer, Berlin, pp
-
Ultsch, A. (1993). Self-Organizing Neural Networks for Visualization and Classification. In: O. Opitz et al. (Eds). Information and Classification. Springer, Berlin, pp. 307-313.
-
(1993)
Information and Classification
, pp. 307-313
-
-
Ultsch, A.1
-
28
-
-
26244445887
-
Self-Organizing Neural Networks perform different from statistical k-means clustering
-
Basel
-
Ultsch, A. (1995). Self-Organizing Neural Networks perform different from statistical k-means clustering. Gesellschaft für Klassifikation, Basel.
-
(1995)
Gesellschaft für Klassifikation
-
-
Ultsch, A.1
-
29
-
-
0034187784
-
Clustering of the Self-Organizing Map
-
Vesanto, J. and Alhoniemi, E. (2000). Clustering of the Self-Organizing Map, IEEE Trans. on Neural Netwoks, v. 11, (3), pp. 586-602.
-
(2000)
IEEE Trans. on Neural Netwoks
, vol.11
, Issue.3
, pp. 586-602
-
-
Vesanto, J.1
Alhoniemi, E.2
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