-
1
-
-
0042241647
-
Regression analysis for interval-valued data
-
H. Kiers, P. Groenen, J.-P. Rasson, and Scader M., editors, Data Analysis, Classification, and Related Methods, Namur, Belgium Springer Verlag, 11-14 July
-
L. Billard and E. Diday. Regression analysis for interval-valued data. In H. Kiers, P. Groenen, J.-P. Rasson, and Scader M., editors, Data Analysis, Classification, and Related Methods, Proc. IFCS'2000, Namur, Belgium. Springer Verlag, 11-14 July 2000.
-
(2000)
Proc. IFCS'2000
-
-
Billard, L.1
Diday, E.2
-
3
-
-
0001626339
-
A classification em algorithm for clustering and two stochastic versions
-
G. Celeux and G. Govaert. A classification em algorithm for clustering and two stochastic versions. Computational Statistics and Data Analysis, 14(3):315-332, 1992.
-
(1992)
Computational Statistics and Data Analysis
, vol.14
, Issue.3
, pp. 315-332
-
-
Celeux, G.1
Govaert, G.2
-
4
-
-
0029305528
-
Gaussian parsimonious clustering models
-
G. Celeux and G. Govaert. Gaussian parsimonious clustering models. Pattern Recognition, 28(5):781-793, 1995.
-
(1995)
Pattern Recognition
, vol.28
, Issue.5
, pp. 781-793
-
-
Celeux, G.1
Govaert, G.2
-
5
-
-
0012393548
-
Dynamical clustering of interval data: Optimization of an adequacy criterion based on hausdorff distance
-
K. Jajuga, A. Sokolowski, and H. H. Bock, editors, Springer, Berlin, Germany
-
M. Chavent and Y. Lechevallier. Dynamical clustering of interval data: Optimization of an adequacy criterion based on hausdorff distance. In K. Jajuga, A. Sokolowski, and H. H. Bock, editors, Classification, Clustering and Data Analysis, pages 53-60. Springer, Berlin, Germany, 2002.
-
(2002)
Classification, Clustering and Data Analysis
, pp. 53-60
-
-
Chavent, M.1
Lechevallier, Y.2
-
6
-
-
11244338856
-
A dynamical clustering of symbolic objects based on a context dependent proximity measure
-
F. C. Barcelar-Nicolau and J. Jassen, editors, LEAD, Universidade de Lisboa
-
F. A. T. De Carvalho, R. Verde, and Y. Lechevallier. A dynamical clustering of symbolic objects based on a context dependent proximity measure. In F. C. Barcelar-Nicolau and J. Jassen, editors, Proceedings of the IX International Symposium on Applied Stochastic Models and Data Analysis, LEAD, Universidade de Lisboa, 1999.
-
(1999)
Proceedings of the IX International Symposium on Applied Stochastic Models and Data Analysis
-
-
De Carvalho, F.A.T.1
Verde, R.2
Lechevallier, Y.3
-
7
-
-
0005900345
-
Symbolic cluster analysis
-
O. Opitz, editor. Springer-Verlag, Heidelberg
-
E. Diday and M. P. Brito. Symbolic cluster analysis. In O. Opitz, editor, Conceptual and Numerical Analysis of Data, pages 45-84. Springer-Verlag, Heidelberg, 1989.
-
(1989)
Conceptual and Numerical Analysis of Data
, pp. 45-84
-
-
Diday, E.1
Brito, M.P.2
-
9
-
-
0346760234
-
An iteractive relocation algorithm for classifying symbolic data
-
O. Opitz and M. Schader, editors. W. Gaul, Springer, Berlin
-
A. D. Gordon. An iteractive relocation algorithm for classifying symbolic data. In O. Opitz and M. Schader, editors, Data Analysis: Scientific Modeling and Practical Application, pages 17-23. W. Gaul, Springer, Berlin, 2000.
-
(2000)
Data Analysis: Scientific Modeling and Practical Application
, pp. 17-23
-
-
Gordon, A.D.1
-
11
-
-
11244327915
-
Multi-layer perceptron on interval data
-
K. Jajuga, A. Sokolowski, and H. H. Bock, editors. Springer, Berlin, Germany
-
F. Rossi and B. Conan-Guez. Multi-layer perceptron on interval data. In K. Jajuga, A. Sokolowski, and H. H. Bock, editors, Classification, Clustering, and Data Analysis, pages 427-436. Springer, Berlin, Germany, 2002.
-
(2002)
Classification, Clustering, and Data Analysis
, pp. 427-436
-
-
Rossi, F.1
Conan-Guez, B.2
-
12
-
-
0346724786
-
Clustering of interval data based on city-block distances
-
R. M. C. R. De Souza and F. A. T. De Carvalho. Clustering of interval data based on city-block distances. Pattern Recognition Letters, 25(3):353-365, 2004.
-
(2004)
Pattern Recognition Letters
, vol.25
, Issue.3
, pp. 353-365
-
-
De Souza, R.M.C.R.1
De Carvalho, F.A.T.2
-
13
-
-
0002643871
-
Clustering criteria and multivariate normal mixture
-
march
-
M. J. Symons. Clustering criteria and multivariate normal mixture. Biometrics, 37:35-43, march 1981.
-
(1981)
Biometrics
, vol.37
, pp. 35-43
-
-
Symons, M.J.1
-
14
-
-
11244332943
-
A dynamical clustering algorithm for symbolic data
-
R. Verde, F. A. T. De Carvalho, and Y. Lechevallier. A dynamical clustering algorithm for symbolic data. In Tutorial on Symbolic Data Analysis, GfKl Conference, Munich, 2001.
-
(2001)
Tutorial on Symbolic Data Analysis, GfKl Conference, Munich
-
-
Verde, R.1
De Carvalho, F.A.T.2
Lechevallier, Y.3
|