-
1
-
-
62249143532
-
NP-hardness of Euclidean sum-of-squares clustering
-
D. Aloise, A. Deshpande, P. Hansen, and P. Popat. NP-hardness of Euclidean sum-of-squares clustering. Machine Learning, 75(2):245-248, 2009.
-
(2009)
Machine Learning
, vol.75
, Issue.2
, pp. 245-248
-
-
Aloise, D.1
Deshpande, A.2
Hansen, P.3
Popat, P.4
-
2
-
-
33947233031
-
Out-of-sample extensions for lle, isomap, mds, eigenmaps, and spectral clustering
-
MIT Press
-
Y. Bengio, J.-F. Paiement, P. Vincent, O. Delalleau, N. L. Roux, and M. Ouimet. Out-of-sample extensions for lle, isomap, mds, eigenmaps, and spectral clustering. In Advances in Neural Information Processing Systems, pages 177-184. MIT Press, 2004.
-
(2004)
Advances in Neural Information Processing Systems
, pp. 177-184
-
-
Bengio, Y.1
Paiement, J.-F.2
Vincent, P.3
Delalleau, O.4
Roux, N.L.5
Ouimet, M.6
-
4
-
-
0347963789
-
GTM: The generative topographic mapping
-
C. Bishop, M. Svensén, and C. Williams. GTM: The generative topographic mapping. Neural computation, 10(1):215-234, 1998.
-
(1998)
Neural Computation
, vol.10
, Issue.1
, pp. 215-234
-
-
Bishop, C.1
Svensén, M.2
Williams, C.3
-
7
-
-
77954933460
-
High performance dimension reduction and visualization for large high-dimensional data analysis
-
May
-
J. Y. Choi, S.-H. Bae, X. Qiu, and G. Fox. High performance dimension reduction and visualization for large high-dimensional data analysis. In Proceedings of the 10th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID 2010), May 2010.
-
(2010)
Proceedings of the 10th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID 2010)
-
-
Choi, J.Y.1
Bae, S.-H.2
Qiu, X.3
Fox, G.4
-
9
-
-
0039305819
-
Applications of convex analysis to multidimensional scaling
-
J. de Leeuw. Applications of convex analysis to multidimensional scaling. Recent Developments in Statistics, pages 133-145, 1977.
-
(1977)
Recent Developments in Statistics
, pp. 133-145
-
-
De Leeuw, J.1
-
10
-
-
0003165345
-
Convergence of the majorization method for multidimensional scaling
-
J. de Leeuw. Convergence of the majorization method for multidimensional scaling. Journal of Classification, 5(2):163-180, 1988.
-
(1988)
Journal of Classification
, vol.5
, Issue.2
, pp. 163-180
-
-
De Leeuw, J.1
-
12
-
-
77954948281
-
Parallel data mining from multicore to cloudy grids
-
Cetraro, Italy, July
-
G. Fox, S. Bae, J. Ekanayake, X. Qiu, and H. Yuan. Parallel data mining from multicore to cloudy grids. In Proceedings of HPC 2008 High Performance Computing and Grids workshop, Cetraro, Italy, July 2008.
-
(2008)
Proceedings of HPC 2008 High Performance Computing and Grids Workshop
-
-
Fox, G.1
Bae, S.2
Ekanayake, J.3
Qiu, X.4
Yuan, H.5
-
13
-
-
0023288009
-
Matrix algorithms on a hypercube I: Matrix multiplication
-
G. Fox, S. Otto, and A. Hey. Matrix algorithms on a hypercube I: Matrix multiplication. Parallel computing, 4(1):17-31, 1987.
-
(1987)
Parallel Computing
, vol.4
, Issue.1
, pp. 17-31
-
-
Fox, G.1
Otto, S.2
Hey, A.3
-
14
-
-
59049104293
-
Glimmer: Multilevel mds on the gpu
-
S. Ingram, T. Munzner, and M. Olano. Glimmer: Multilevel mds on the gpu. IEEE Transactions on Visualization and Computer Graphics, 15(2):249-261, 2009.
-
(2009)
IEEE Transactions on Visualization and Computer Graphics
, vol.15
, Issue.2
, pp. 249-261
-
-
Ingram, S.1
Munzner, T.2
Olano, M.3
-
16
-
-
0345404396
-
The self-organizing map
-
T. Kohonen. The self-organizing map. Neurocomputing, 21(1-3):1-6, 1998.
-
(1998)
Neurocomputing
, vol.21
, Issue.1-3
, pp. 1-6
-
-
Kohonen, T.1
-
17
-
-
0041654220
-
Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis
-
J. B. Kruskal. Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. Psychometrika, 29(1):1-27, 1964.
-
(1964)
Psychometrika
, vol.29
, Issue.1
, pp. 1-27
-
-
Kruskal, J.B.1
-
19
-
-
34250297158
-
Nonmetric individual differences multidimensional scaling: An alternating least squares method with optimal scaling features
-
Y. Takane, F. W. Young, and J. de Leeuw. Nonmetric individual differences multidimensional scaling: an alternating least squares method with optimal scaling features. Psychometrika, 42(1):7-67, 1977.
-
(1977)
Psychometrika
, vol.42
, Issue.1
, pp. 7-67
-
-
Takane, Y.1
Young, F.W.2
De Leeuw, J.3
-
20
-
-
84950351930
-
Multidimensional scaling: I. theory and method
-
W. S. Torgerson. Multidimensional scaling: I. theory and method. Psychometrika, 17(4):401-419, 1952.
-
(1952)
Psychometrika
, vol.17
, Issue.4
, pp. 401-419
-
-
Torgerson, W.S.1
-
21
-
-
44349104257
-
The out-of-sample problem for classical multidimensional scaling
-
M. W. Trosset and C. E. Priebe. The out-of-sample problem for classical multidimensional scaling. Computational Statistics and Data Analysis, 52(10):4635-4642, 2008.
-
(2008)
Computational Statistics and Data Analysis
, vol.52
, Issue.10
, pp. 4635-4642
-
-
Trosset, M.W.1
Priebe, C.E.2
-
22
-
-
0031123769
-
SUMMA: Scalable universal matrix multiplication algorithm
-
R. Van De Geijn and J. Watts. SUMMA: Scalable universal matrix multiplication algorithm. Concurrency Practice and Experience, 9(4):255-274, 1997.
-
(1997)
Concurrency Practice and Experience
, vol.9
, Issue.4
, pp. 255-274
-
-
De G.R.Van1
Watts, J.2
-
23
-
-
60549085200
-
Further relaxations of the semidefinite programming approach to sensor network localization
-
Z. Wang, S. Zheng, Y. Ye, and S. Boyd. Further relaxations of the semidefinite programming approach to sensor network localization. SIAM Journal on Optimization, 19(2):655-673, 2008.
-
(2008)
SIAM Journal on Optimization
, vol.19
, Issue.2
, pp. 655-673
-
-
Wang, Z.1
Zheng, S.2
Ye, Y.3
Boyd, S.4
-
24
-
-
67349098382
-
Embedding new data points for manifold learning via coordinate propagation
-
S. Xiang, F. Nie, Y. Song, C. Zhang, and C. Zhang. Embedding new data points for manifold learning via coordinate propagation. Knowledge and Information Systems, 19(2):159-184, 2009.
-
(2009)
Knowledge and Information Systems
, vol.19
, Issue.2
, pp. 159-184
-
-
Xiang, S.1
Nie, F.2
Song, Y.3
Zhang, C.4
Zhang, C.5
|