-
1
-
-
84942935904
-
Efficient hierarchical clustering algorithms using partially overlapping partitions
-
M. Dash and H. Liu (2001), Efficient hierarchical clustering algorithms using partially overlapping partitions, Lecture Notes in Computer Science, Vol. 2035, p. 495-507.
-
(2001)
Lecture Notes in Computer Science
, vol.2035
, pp. 495-507
-
-
Dash, M.1
Liu, H.2
-
2
-
-
0020068152
-
Self-organized formation of topologically correct feature maps
-
T. Kohonen (1982), Self-Organized formation of topologically correct feature maps, Biological Cybernetics, Vol. 43, p. 59-69.
-
(1982)
Biological Cybernetics
, vol.43
, pp. 59-69
-
-
Kohonen, T.1
-
3
-
-
56149114998
-
Fast semi-automatic segmentation algorithm for self-organizing maps
-
Bruges, 28-30 avril 2004
-
D. Opolon & F. Moutarde (2004), Fast semi-automatic segmentation algorithm for Self-Organizing Maps, In Proc. of ESANN'2004, Bruges, 28-30 avril 2004, p. 507-512.
-
(2004)
Proc. of ESANN'2004
, pp. 507-512
-
-
Opolon, D.1
Moutarde, F.2
-
4
-
-
0002535204
-
Self-organizing neural networks for visualization and classification
-
Dortmund (Germany), April 1992
-
A. Ultsch (1992), Self-Organizing Neural Networks for Visualization and Classification, In Proc. Conf. Soc. for Information and Classification, Dortmund (Germany), April 1992.
-
(1992)
Proc. Conf. Soc. for Information and Classification
-
-
Ultsch, A.1
-
5
-
-
24944572401
-
Maps for the visualization of high-dimensional data spaces
-
Kyushu (Japan)
-
A. Ultsch (2003), Maps for the Visualization of high-dimensional Data Spaces, In Proc. WSOM'03, Kyushu (Japan), p. 225-230.
-
(2003)
Proc. WSOM'03
, pp. 225-230
-
-
Ultsch, A.1
-
6
-
-
26944499910
-
*-matrix: A tool to visualize clusters in high dimensional data
-
University of Marburg (Germany)
-
*-Matrix: a Tool to visualize Clusters in high dimensional Data, In Research report Dept. of Mathematics and Computer Science, University of Marburg (Germany), No. 36.
-
(2003)
Research Report Dept. of Mathematics and Computer Science
, Issue.36
-
-
Ultsch, A.1
-
7
-
-
0002432308
-
Kohonen's self organizing feature maps for exploratory data analysis
-
Kluwer Academic Press, Paris
-
A. Ultsch & H.P. Siemon (1990), Kohonen's Self Organizing Feature Maps for Exploratory Data Analysis, In Proc. Intern. Neural Networks Conf. (INNC'90), Dortrecht (Netherlands), Kluwer Academic Press, Paris, p. 305-308.
-
(1990)
Proc. Intern. Neural Networks Conf. (INNC'90), Dortrecht (Netherlands)
, pp. 305-308
-
-
Ultsch, A.1
Siemon, H.P.2
-
8
-
-
0006585767
-
Self-organizing-feature-maps versus statistical clustering methods: A benchmark
-
University of Marburg, Research Report 0994
-
A. Ultsch & C. Vetter (1994), Self-Organizing-Feature-Maps versus statistical clustering methods: a benchmark. FG Neuroinformatik & Kuenstliche Intelligenz, University of Marburg, Research Report 0994.
-
(1994)
FG Neuroinformatik & Kuenstliche Intelligenz
-
-
Ultsch, A.1
Vetter, C.2
-
9
-
-
0010985453
-
Self-organizing map in matlab: The SOM toolbox
-
Espoo, Finland, November 1999
-
J. Vesanto et al. (1999), Self-organizing map in Matlab: the SOM toolbox, In Proceedings of the Matlab DSP Conference, Espoo, Finland, November 1999, p. 35-40.
-
(1999)
Proceedings of the Matlab DSP Conference
, pp. 35-40
-
-
Vesanto, J.1
-
10
-
-
38049168357
-
SOM-based data visualization methods
-
J. Vesanto (1999), SOM-based data visualization methods, Intelligent Data Analysis, Vol. 3 (2).
-
(1999)
Intelligent Data Analysis
, vol.3
, Issue.2
-
-
Vesanto, J.1
-
11
-
-
0003642575
-
Using SOM in data mining
-
Helsinki University of Technology
-
J. Vesanto (2000), Using SOM in data mining, Licentiate thesis, Helsinki University of Technology.
-
(2000)
Licentiate Thesis
-
-
Vesanto, J.1
|