-
1
-
-
0000325341
-
On lines and planes of closest fit to systems of points in space
-
K. Pearson. On lines and planes of closest fit to systems of points in space. Philosophical Magazine, 2:559-572, 1901.
-
(1901)
Philosophical Magazine
, vol.2
, pp. 559-572
-
-
Pearson, K.1
-
2
-
-
58149421595
-
Analysis of a complex of statistical variables into principal components
-
H. Hotelling. Analysis of a complex of statistical variables into principal components. Journal of Educational Psychology, 24:417-441, 1933.
-
(1933)
Journal of Educational Psychology
, vol.24
, pp. 417-441
-
-
Hotelling, H.1
-
4
-
-
0002361037
-
Discussion of a set of points in terms of their mutual distances
-
G. Young and A.S. Householder. Discussion of a set of points in terms of their mutual distances. Psychometrika, 3:19-22, 1938.
-
(1938)
Psychometrika
, vol.3
, pp. 19-22
-
-
Young, G.1
Householder, A.S.2
-
7
-
-
84887006810
-
A nonlinear mapping algorithm for data structure analysis
-
J.W. Sammon. A nonlinear mapping algorithm for data structure analysis. IEEE Transactions on Computers, CC-18(5):401-409, 1969.
-
(1969)
IEEE Transactions On Computers
, vol.18
, Issue.5
, pp. 401-409
-
-
Sammon, J.W.1
-
8
-
-
0030736375
-
Curvilinear component analysis: A self-organizing neural network for nonlinear mapping of data sets
-
January
-
P. Demartines and J. Héerault. Curvilinear component analysis: A self-organizing neural network for nonlinear mapping of data sets. IEEE Transactions on Neural Networks, 8(1):148-154, January 1997.
-
(1997)
IEEE Transactions On Neural Networks
, vol.8
, Issue.1
, pp. 148-154
-
-
Demartines, P.1
Héerault, J.2
-
9
-
-
84958976659
-
Neighborhood preservation in nonlinear projection methods: An experimental study
-
J. Venna and S. Kaski. Neighborhood preservation in nonlinear projection methods: An experimental study. In ICANN, pages 485-491, 2001.
-
(2001)
ICANN
, pp. 485-491
-
-
Venna, J.1
Kaski, S.2
-
10
-
-
61849137245
-
Quality assessment of dimensionality reduction: Rank-based criteria
-
J.A. Lee and M. Verleysen. Quality assessment of dimensionality reduction: Rank-based criteria. Neurocomputing, 72(7-9):1431-1443, 2009.
-
(2009)
Neurocomputing
, vol.72
, Issue.7-9
, pp. 1431-1443
-
-
Lee, J.A.1
Verleysen, M.2
-
11
-
-
84871920533
-
Visualizing gene interaction graphs with local multidimensional scaling
-
April In M. Verleysen, editor, d-side, Bruges, Belgium
-
J. Venna and S. Kaski. Visualizing gene interaction graphs with local multidimensional scaling. In M. Verleysen, editor, Proc. ESANN 2006, 14th European Symposium on Artificial Neural Networks, pages 557-562. d-side, Bruges, Belgium, April 2006.
-
(2006)
Proc. ESANN 2006, 14th European Symposium On Artificial Neural Networks
, pp. 557-562
-
-
Venna, J.1
Kaski, S.2
-
12
-
-
33746617306
-
Local multidimensional scaling
-
J. Venna and S. Kaski. Local multidimensional scaling. Neural Networks, 19:889-899, 2006.
-
(2006)
Neural Networks
, vol.19
, pp. 889-899
-
-
Venna, J.1
Kaski, S.2
-
13
-
-
0034704229
-
A global geometric framework for nonlinear dimensionality reduction
-
December
-
J.B. Tenenbaum, V. de Silva, and J.C. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290(5500):2319-2323, December 2000.
-
(2000)
Science
, vol.290
, Issue.5500
, pp. 2319-2323
-
-
Tenenbaum, J.B.1
de Silva, V.2
Langford, J.C.3
-
14
-
-
0038455092
-
-
Technical report, Stanford University, Palo Alto, CA, December
-
M. Bernstein, V. de Silva, J.C. Langford, and J. B. Tenenbaum. Graph approximations to geodesics on embedded manifolds. Technical report, Stanford University, Palo Alto, CA, December 2000.
-
(2000)
Graph Approximations to Geodesics On Embedded Manifolds
-
-
Bernstein, M.1
de Silva, V.2
Langford, J.C.3
Tenenbaum, J.B.4
-
15
-
-
1542680971
-
Curvilinear distance analysis versus isomap
-
March
-
J.A. Lee and M. Verleysen. Curvilinear distance analysis versus isomap. Neurocomputing, 57:49-76, March 2004.
-
(2004)
Neurocomputing
, vol.57
, pp. 49-76
-
-
Lee, J.A.1
Verleysen, M.2
-
16
-
-
0042378381
-
Laplacian eigenmaps for dimensionality reduction and data representation
-
June
-
M. Belkin and P. Niyogi. Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation, 15(6):1373-1396, June 2003.
-
(2003)
Neural Computation
, vol.15
, Issue.6
, pp. 1373-1396
-
-
Belkin, M.1
Niyogi, P.2
-
17
-
-
84887012398
-
Clustering using a random-walk based distance measure
-
In M. Verleysen, editor, Bruges, Belgium, April, d-side
-
L. Yen, D. Vanvyve, F. Wouters, F. Fouss, M. Verleysen, and M. Saerens. Clustering using a random-walk based distance measure. In M. Verleysen, editor, Proc. ESANN 2005, 13th European Symposium on Artificial Neural Networks, pages 317-324, Bruges, Belgium, April 2005. d-side.
-
(2005)
Proc. ESANN 2005, 13th European Symposium On Artificial Neural Networks
, pp. 317-324
-
-
Yen, L.1
Vanvyve, D.2
Wouters, F.3
Fouss, F.4
Verleysen, M.5
Saerens, M.6
-
18
-
-
33744949513
-
Unsupervised learning of image manifolds by semidefinite programming
-
K.Q. Weinberger and L.K. Saul. Unsupervised learning of image manifolds by semidefinite programming. International Journal of Computer Vision, 70(1):77-90, 2006.
-
(2006)
International Journal of Computer Vision
, vol.70
, Issue.1
, pp. 77-90
-
-
Weinberger, K.Q.1
Saul, L.K.2
-
19
-
-
84898964829
-
Stochastic neighbor embedding
-
S. Becker, S. Thrun, and K. Obermayer, editors, MIT Press
-
G. Hinton and S.T. Roweis. Stochastic neighbor embedding. In S. Becker, S. Thrun, and K. Obermayer, editors, Advances in Neural Information Processing Systems (NIPS 2002), volume 15, pages 833-840. MIT Press, 2003.
-
(2003)
Advances In Neural Information Processing Systems (NIPS 2002)
, vol.15
, pp. 833-840
-
-
Hinton, G.1
Roweis, S.T.2
-
21
-
-
77949507946
-
-
to appear
-
J. Venna, J. Peltonen, K. Nybo, H. Aidos, and S. Kaski. Information retrieval perspective to nonlinear dimensionality reduction for data visualization. Journal of Machine Learning Research: Workshop and Conference Proceedings, 11:(to appear), 2010.
-
(2010)
Information Retrieval Perspective to Nonlinear Dimensionality Reduction For Data Visualization. Journal of Machine Learning Research: Workshop and Conference Proceedings
, vol.11
-
-
Venna, J.1
Peltonen, J.2
Nybo, K.3
Aidos, H.4
Kaski, S.5
-
23
-
-
79951924106
-
Stratification learning: Detecting mixed density and dimensionality in high dimensional point clouds
-
G. Haro, G. Randall, and G. Sapiro. Stratification learning: Detecting mixed density and dimensionality in high dimensional point clouds. In Proc. NIPS, 2007.
-
(2007)
Proc. NIPS
-
-
Haro, G.1
Randall, G.2
Sapiro, G.3
-
25
-
-
85122490254
-
Topological estimation using witness complexes
-
ETH, Zürich, Switzerland, June 2-4
-
V. de Silva and G. Carlsson. Topological estimation using witness complexes. In Eurographics Symposium on Point-Based Graphics, ETH, Zürich, Switzerland, June 2-4, 2004.
-
(2004)
Eurographics Symposium On Point-Based Graphics
-
-
de Silva, V.1
Carlsson, G.2
-
26
-
-
85122892210
-
A barcode shape descriptor for curve point cloud data
-
ETH, Zürich, Switzerland, June 2-4
-
A. Collins, A. Zomorodian, G. Carlsson, and L. Guibas. A barcode shape descriptor for curve point cloud data. In Eurographics Symposium on Point-Based Graphics, ETH, Zürich, Switzerland, June 2-4, 2004.
-
(2004)
Eurographics Symposium On Point-Based Graphics
-
-
Collins, A.1
Zomorodian, A.2
Carlsson, G.3
Guibas, L.4
-
27
-
-
84886995543
-
Topology representing network for sensor-based robot motion planning
-
INNS Press
-
M. Zeller, R. Sharma, and K. Schulten. Topology representing network for sensor-based robot motion planning. In Proc. WCNN. INNS Press.
-
In Proc. WCNN
-
-
Zeller, M.1
Sharma, R.2
Schulten, K.3
-
28
-
-
33750729556
-
Manifold regularization: A geometric framework for learning from labeled and unlabeled examples
-
M. Belkin, P. Niyogi, and V. Sindhwani. Manifold regularization: a geometric framework for learning from labeled and unlabeled examples. Journal of Machine Learning Research, 7:2399-2434, 2006.
-
(2006)
Journal of Machine Learning Research
, vol.7
, pp. 2399-2434
-
-
Belkin, M.1
Niyogi, P.2
Sindhwani, V.3
-
29
-
-
33749252873
-
-
MIT Press, Cambridge, MA
-
O. Chapelle, B. Schölkopf, and A. Zien. Semi-Supervised Learning. MIT Press, Cambridge, MA, 2006.
-
(2006)
Semi-Supervised Learning
-
-
Chapelle, O.1
Schölkopf, B.2
Zien, A.3
-
31
-
-
33845617962
-
Understanding the structure of the turbulent mixing layer in hydrodynamic instabilities
-
D. Laney, P.T. Bremer, A. Mascarenhas, P. Miller, and V. Pascucci. Understanding the structure of the turbulent mixing layer in hydrodynamic instabilities. IEEE Trans. on Vis. and Comp. Graph., 12(5):1053-1060, 2006.
-
(2006)
IEEE Trans. On Vis. and Comp. Graph
, vol.12
, Issue.5
, pp. 1053-1060
-
-
Laney, D.1
Bremer, P.T.2
Mascarenhas, A.3
Miller, P.4
Pascucci, V.5
-
32
-
-
0242665530
-
Nonlinear dimensionality reduction techniques for classification and visualization
-
M. Vlachos, C. Domeniconi, D. Gunopulos, G. Kollios, and N. Koudas. Nonlinear dimensionality reduction techniques for classification and visualization. In Proc. KDD, 2002.
-
(2002)
Proc. KDD
-
-
Vlachos, M.1
Domeniconi, C.2
Gunopulos, D.3
Kollios, G.4
Koudas, N.5
-
33
-
-
84864060454
-
Combining graph laplacians for semi-supervised learning
-
A. Argyriou, M. Herbster, and M. Pontil. Combining graph laplacians for semi-supervised learning. In Proc. NIPS, 2005.
-
(2005)
Proc. NIPS
-
-
Argyriou, A.1
Herbster, M.2
Pontil, M.3
-
34
-
-
84880203756
-
Laplacian eigenmaps and spectral techniques for embedding and clustering
-
M. Belkin and P. Niyogi. Laplacian eigenmaps and spectral techniques for embedding and clustering. In Proc. NIPS, 2002.
-
(2002)
Proc. NIPS
-
-
Belkin, M.1
Niyogi, P.2
-
35
-
-
34548583274
-
A tutorial on spectral clustering
-
U. von Luxburg. A tutorial on spectral clustering. Statistics and Computing, 17(4):395-416, 2007.
-
(2007)
Statistics and Computing
, vol.17
, Issue.4
, pp. 395-416
-
-
von Luxburg, U.1
-
37
-
-
84899013108
-
On spectral clustering: Analysis and an anlgorithm
-
A. Ng, M. Jordan, and Y. Weiss. On spectral clustering: analysis and an anlgorithm. In Proc. NIPS, 2002.
-
(2002)
Proc. NIPS
-
-
Ng, A.1
Jordan, M.2
Weiss, Y.3
-
39
-
-
0033465068
-
Surface reconstruction by Voronoi filtering
-
N. Amenta and M. Bern. Surface reconstruction by Voronoi filtering. Discrete and Computational Geometry, 22(4):481-504, 1999.
-
(1999)
Discrete and Computational Geometry
, vol.22
, Issue.4
, pp. 481-504
-
-
Amenta, N.1
Bern, M.2
-
41
-
-
0038376464
-
Morse-smale complexes for piecewise linear 3-manifolds
-
H. Edelsbrunner, J. Harer, V. Natarajan, and V. Pascucci. Morse-smale complexes for piecewise linear 3-manifolds. In Eurographics Symposium on Point-Based Graphics, Proc. 19th Ann. Symp. Comp. Geom. (SOCG), 2003.
-
(2003)
Eurographics Symposium On Point-Based Graphics, Proc. 19th Ann. Symp. Comp. Geom. (SOCG)
-
-
Edelsbrunner, H.1
Harer, J.2
Natarajan, V.3
Pascucci, V.4
-
42
-
-
62249220567
-
A sampling theory for compact sets in euclidean spaces
-
F. Chazal, D. Cohen-Steiner, and A. Lieutier. A sampling theory for compact sets in euclidean spaces. Discrete and Computational Geometry, 41(3):461-479, 2007.
-
(2007)
Discrete and Computational Geometry
, vol.41
, Issue.3
, pp. 461-479
-
-
Chazal, F.1
Cohen-Steiner, D.2
Lieutier, A.3
-
43
-
-
40349102105
-
Finding the homology of submanifolds with high confidence from random samples
-
P. Niyogi, S. Smale, and S. Weinberger. Finding the homology of submanifolds with high confidence from random samples. Discrete and Computational Geometry, 39(1-3):419-441, 2006.
-
(2006)
Discrete and Computational Geometry
, vol.39
, Issue.1-3
, pp. 419-441
-
-
Niyogi, P.1
Smale, S.2
Weinberger, S.3
-
45
-
-
33748062672
-
Topology guaranteeing manifold reconstruction using distance function to noisy data
-
F. Chazal and A. Lieutier. Topology guaranteeing manifold reconstruction using distance function to noisy data. In Proc. Symp. on Computational Geometry, 2006.
-
(2006)
Proc. Symp. On Computational Geometry
-
-
Chazal, F.1
Lieutier, A.2
-
48
-
-
40649101705
-
Learning topology with the generative gaussian graph and the em algorithm
-
M. Aupetit. Learning topology with the generative gaussian graph and the em algorithm. In Proc. of NIPS, 2005.
-
(2005)
Proc. of NIPS
-
-
Aupetit, M.1
-
49
-
-
0025489075
-
The self-organizing map
-
T. Kohonen. The self-organizing map. Proc. IEEE, 78(9):1464-1480, 1990.
-
(1990)
Proc. IEEE
, vol.78
, Issue.9
, pp. 1464-1480
-
-
Kohonen, T.1
-
50
-
-
0031097231
-
Topology preservation in self-organizing feature maps: Exact definition and measurement
-
T. Villmann, R. Der, M. Herrmann, and T. Martinetz. Topology preservation in self-organizing feature maps: Exact definition and measurement. IEEE Transactions on Neural Networks, 8(2):256-266, 1997.
-
(1997)
IEEE Transactions On Neural Networks
, vol.8
, Issue.2
, pp. 256-266
-
-
Villmann, T.1
Der, R.2
Herrmann, M.3
Martinetz, T.4
-
51
-
-
0026898892
-
Quantifying the neighborhood preservation of Self-Organizing Feature Maps
-
H.-U. Bauer and K.R. Pawelzik. Quantifying the neighborhood preservation of Self-Organizing Feature Maps. IEEE Trans. on Neural Networks, 3(4):570-579, 1992.
-
(1992)
IEEE Trans. On Neural Networks
, vol.3
, Issue.4
, pp. 570-579
-
-
Bauer, H.-U.1
Pawelzik, K.R.2
-
52
-
-
0001449448
-
Controlling the magnification factor of self-organizing feature maps
-
H. U. Bauer, R. Der, and M. Herrmann. Controlling the magnification factor of self-organizing feature maps. Neural Computation, 8(4):757-71, 1996.
-
(1996)
Neural Computation
, vol.8
, Issue.4
, pp. 757-771
-
-
Bauer, H.U.1
Der, R.2
Herrmann, M.3
-
53
-
-
0036133934
-
Clustering based on conditional distributions in an auxiliary space
-
J. Sinkkonen and S. Kaski. Clustering based on conditional distributions in an auxiliary space. Neural Computation, 14:217-239, 2002.
-
(2002)
Neural Computation
, vol.14
, pp. 217-239
-
-
Sinkkonen, J.1
Kaski, S.2
-
54
-
-
2142684345
-
Generative probability density model in the self-organizing map
-
In U. Seiffert and L.C. Jain, editors, Physica-Verlag, Heidelberg, New York
-
J. Lampinen and T. Kostiainen. Generative probability density model in the self-organizing map. In U. Seiffert and L.C. Jain, editors, Self-Organizing Neural Networks, Studies in Fuzzi-ness and Soft Computing, pages 75-92. Physica-Verlag, Heidelberg, New York, 2001.
-
(2001)
Self-Organizing Neural Networks, Studies In Fuzzi-ness and Soft Computing
, pp. 75-92
-
-
Lampinen, J.1
Kostiainen, T.2
-
56
-
-
21744458509
-
Locally linear embedding versus Isotop
-
on Art. Neur. Netw. (ESANN), Bruges, Belgium, d-side publishers
-
J.A. Lee, C. Archambeau, and M. Verleysen. Locally linear embedding versus Isotop. In Proc. of the 11th Europ. Symp. on Art. Neur. Netw. (ESANN), pages 527-534, Bruges, Belgium, 2003. d-side publishers.
-
(2003)
Proc. of the 11th Europ. Symp
, pp. 527-534
-
-
Lee, J.A.1
Archambeau, C.2
Verleysen, M.3
-
57
-
-
0036825529
-
The deformable feature map - a novel neurocomputing algorithm for adaptive plasticity in pattern analysis
-
A. Wismüller, F. Vietze, D.R. Dersch, J. Behrends, K. Hahn, and H. Ritter. The deformable feature map - a novel neurocomputing algorithm for adaptive plasticity in pattern analysis. Neurocomputing, 48:107-139, 2002.
-
(2002)
Neurocomputing
, vol.48
, pp. 107-139
-
-
Wismüller, A.1
Vietze, F.2
Dersch, D.R.3
Behrends, J.4
Hahn, K.5
Ritter, H.6
-
58
-
-
9144265904
-
Fullyautomated biomedical image segmentation by self-organized model adaptation
-
A. Wismüller, F. Vietze, J. Behrends, A. Meyer-Baese, M.F. Reiser, and H. Ritter. Fullyautomated biomedical image segmentation by self-organized model adaptation. Neural Networks, 17:1327-1344, 2004.
-
(2004)
Neural Networks
, vol.17
, pp. 1327-1344
-
-
Wismüller, A.1
Vietze, F.2
Behrends, J.3
Meyer-Baese, A.4
Reiser, M.F.5
Ritter, H.6
-
65
-
-
66749128538
-
The exploration machine: A novel method for analyzing high-dimensional data in computer-aided diagnosis
-
72600G-72600G-7, N. Karssemeijer and M. Giger, editors
-
A. Wismüller. The exploration machine: a novel method for analyzing high-dimensional data in computer-aided diagnosis. In N. Karssemeijer and M. Giger, editors, Medical Imaging 2009: Computer-Aided Diagnosis. Proc. SPIE, volume 7260, pages 72600G-72600G-7, 2009.
-
(2009)
Medical Imaging 2009: Computer-Aided Diagnosis, Proc. SPIE
, vol.7260
-
-
Wismüller, A.1
-
66
-
-
77649237216
-
-
Neurocomputing, In Press
-
K. Bunte, B. Hammer, A. Wismüller, and M. Biehl. Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data. Neurocomputing, In Press:-, 2010.
-
(2010)
Adaptive Local Dissimilarity Measures For Discriminative Dimension Reduction of Labeled Data
-
-
Bunte, K.1
Hammer, B.2
Wismüller, A.3
Biehl, M.4
-
67
-
-
84887014256
-
-
Exploratory Observation Machine (XOM) with Kullback-Leibler divergence for dimensionality reduction and visualization In Proc. of the 18th Europ. Symp. on Art Neur. Netw. (ESANN), d-side publishers
-
K. Bunte, B. Hammer, T. Villmann, M. Biehl, and A. Wismüller. Exploratory Observation Machine (XOM) with Kullback-Leibler divergence for dimensionality reduction and visualization In Proc. of the 18th Europ. Symp. on ArtNeur. Netw. (ESANN), Bruges, Belgium, 2010. d-side publishers.
-
(2010)
-
-
Bunte, K.1
Hammer, B.2
Villmann, T.3
Biehl, M.4
Wismüller, A.5
-
69
-
-
33847360579
-
Visualizing distortions and recovering topology in continuous projection techniques
-
M. Aupetit. Visualizing distortions and recovering topology in continuous projection techniques. Neurocomputing, 70(7-9):1304-1330, 2007.
-
(2007)
Neurocomputing
, vol.70
, Issue.7-9
, pp. 1304-1330
-
-
Aupetit, M.1
-
70
-
-
34548644125
-
DD-HDS: A method for visualization and exploration of high-dimensional data
-
S. Lespinats, M. Verleysen, A. Giron, and B. Fertil. DD-HDS: A method for visualization and exploration of high-dimensional data. IEEE Transactions on Neural Networks, 18(5):1265-1279, 2007.
-
(2007)
IEEE Transactions On Neural Networks
, vol.18
, Issue.5
, pp. 1265-1279
-
-
Lespinats, S.1
Verleysen, M.2
Giron, A.3
Fertil, B.4
-
71
-
-
38049168357
-
SOM-based data visualization methods
-
J. Vesanto. SOM-based data visualization methods. Intelligent Data Analysis, 3(2):111-126, 1999.
-
(1999)
Intelligent Data Analysis
, vol.3
, Issue.2
, pp. 111-126
-
-
Vesanto, J.1
-
72
-
-
0041803949
-
Kohonen networks on transputers: Implementation and animation
-
Kluwer Academic Press, Paris
-
H.P. Siemon and A. Ultsch. Kohonen networks on transputers: Implementation and animation. In International Neural Networks, pages 643-646. Kluwer Academic Press, Paris, 1990.
-
(1990)
International Neural Networks
, pp. 643-646
-
-
Siemon, H.P.1
Ultsch, A.2
-
73
-
-
0347499982
-
Coloring that reveals cluster structures in multivariate data
-
S. Kaski, J. Venna, and T. Kohonen. Coloring that reveals cluster structures in multivariate data. Australian Journal of Intelligent Information Processing,Systems, 6:82-88, 2000.
-
(2000)
Australian Journal of Intelligent Information Processing,Systems
, vol.6
, pp. 82-88
-
-
Kaski, S.1
Venna, J.2
Kohonen, T.3
-
74
-
-
84902165135
-
Distance between kohonen classes, visualization tool to use som in data set analysis and representation
-
J. Mira and A. Prieto, editors, LNCS 2085, Springer-Verlag
-
P. Rousset and C. Guinot. Distance between kohonen classes, visualization tool to use som in data set analysis and representation. In J. Mira and A. Prieto, editors, Proc. Intl. Workshop on Artificial Neural Networks (IWANN'01), LNCS 2085, pages 119-126. Springer-Verlag, 2001.
-
(2001)
Proc. Intl. Workshop On Artificial Neural Networks (IWANN'01
, pp. 119-126
-
-
Rousset, P.1
Guinot, C.2
-
75
-
-
84886999298
-
Graph projection techniques for self-organizing maps
-
In Michel Verleysen, editor, Bruges, Belgium, April 27-29 2005. d-side publications
-
G. Pölzlbauer, A. Rauber, and M. Dittenbach. Graph projection techniques for self-organizing maps. In Michel Verleysen, editor, Proc. European Symposium on Artificial Neural Networks (ESANN'05), pages 533-538, Bruges, Belgium, April 27-29 2005. d-side publications.
-
Proc. European Symposium On Artificial Neural Networks (ESANN'05)
, pp. 533-538
-
-
Pölzlbauer, G.1
Rauber, A.2
Dittenbach, M.3
-
76
-
-
67349242966
-
Exploiting data topology in visualization and clustering of selforganizing maps
-
K. Tasdemir and E. Merényi. Exploiting data topology in visualization and clustering of selforganizing maps. IEEE Trans. on Neural Networks, 20(4):549-562, 2009.
-
(2009)
IEEE Trans. On Neural Networks
, vol.20
, Issue.4
, pp. 549-562
-
-
Tasdemir, K.1
Merényi, E.2
-
78
-
-
40649110460
-
Learning topology of a labeled data set with the supervised generative gaussian graph
-
P. Gaillard, M. Aupetit, and G. Govaert. Learning topology of a labeled data set with the supervised generative gaussian graph. Neurocomputing, 71(7-9):1283-1299, 2008.
-
(2008)
Neurocomputing
, vol.71
, Issue.7-9
, pp. 1283-1299
-
-
Gaillard, P.1
Aupetit, M.2
Govaert, G.3
|