-
1
-
-
32344444301
-
Two-mode overlapping clustering with applications to simultaneous benefit segmentation and market structuring
-
In R. Klar & O. Opitz (Eds.), Berlin: Springer
-
Baier, D., Gaul, W., & Schader, M. (1997). Two-mode overlapping clustering with applications to simultaneous benefit segmentation and market structuring. In R. Klar & O. Opitz (Eds.), Classification and knowledge organization (pp. 557-566). Berlin: Springer.
-
(1997)
Classification and Knowledge Organization
, pp. 557-566
-
-
Baier, D.1
Gaul, W.2
Schader, M.3
-
3
-
-
6444229111
-
Two-mode partitioning: Review of methods and application of tabu search
-
In K. Jajuga, A. Sokolowski, & H.-H. Bock (Eds.), Heidelberg: Springer
-
Castillo, W., & Trejos, J. (2002). Two-mode partitioning: Review of methods and application of tabu search. In K. Jajuga, A. Sokolowski, & H.-H. Bock (Eds.), Classification, clustering, and related topics: Recent advances and applications (pp. 43-51). Heidelberg: Springer.
-
(2002)
Classification, Clustering, and Related Topics: Recent Advances and Applications
, pp. 43-51
-
-
Castillo, W.1
Trejos, J.2
-
4
-
-
33745135758
-
Selecting among three-mode principal component models of different types and complexities: A numerical convex hull based method
-
Ceulemans, E., & Kiers, H. A. L. (2006). Selecting among three-mode principal component models of different types and complexities: A numerical convex hull based method. British Journal of Mathematical & Statistical Psychology, 59, 133-150.
-
(2006)
British Journal of Mathematical & Statistical Psychology
, vol.59
, pp. 133-150
-
-
Ceulemans, E.1
Kiers, H.A.L.2
-
5
-
-
28844440955
-
Hierarchical classes models for three-way three-mode binary data: Interrelations and model selection
-
Ceulemans, E., & Van Mechelen, I. (2005). Hierarchical classes models for three-way three-mode binary data: Interrelations and model selection. Psychometrika, 70, 461-480.
-
(2005)
Psychometrika
, vol.70
, pp. 461-480
-
-
Ceulemans, E.1
van Mechelen, I.2
-
6
-
-
4644342606
-
A new algorithm for two-mode clustering
-
In H.-H. Bock & W. Polasek (Eds.), Berlin: Springer
-
Gaul, W., & Schader, M. (1996). A new algorithm for two-mode clustering. In H.-H. Bock & W. Polasek (Eds.), Classification and knowledge organization (pp. 15-23). Berlin: Springer.
-
(1996)
Classification and Knowledge Organization
, pp. 15-23
-
-
Gaul, W.1
Schader, M.2
-
7
-
-
19044364181
-
Optimising k-means clustering results with standard software packages
-
Hand, D. J., & Krzanowski, W. J. (2005). Optimising k-means clustering results with standard software packages. Computational Statistics & Data Analysis, 49, 969-973.
-
(2005)
Computational Statistics & Data Analysis
, vol.49
, pp. 969-973
-
-
Hand, D.J.1
Krzanowski, W.J.2
-
9
-
-
34548248388
-
Clustering all three modes of three-mode data: Computational possibilities and problems
-
In J. Antoch (Ed.), Heidelberg: Springer
-
Kiers, H. A. L. (2004). Clustering all three modes of three-mode data: Computational possibilities and problems. In J. Antoch (Ed.), COMPSTAT: Proceedings in Computational Statistics (pp. 303-313). Heidelberg: Springer.
-
(2004)
COMPSTAT: Proceedings in Computational Statistics
, pp. 303-313
-
-
Kiers, H.A.L.1
-
10
-
-
0001457509
-
Some methods for classification and analysis of multivariate observations
-
In L. M. Le Cam & J. Neyman (Eds.), Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Berkeley: University of California Press
-
MacQueen, J. (1967). Some methods for classification and analysis of multivariate observations. In L. M. Le Cam & J. Neyman (Eds.), Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability (Vol. 1, pp. 281-297). Berkeley: University of California Press.
-
(1967)
, vol.1
, pp. 281-297
-
-
MacQueen, J.1
-
12
-
-
49349117162
-
Selecting among multimode partitioning models of different complexities: A comparison of four model selection criteria
-
Schepers, J., Ceulemans, E., & Van Mechelen, I. (2008). Selecting among multi-mode partitioning models of different complexities: A comparison of four model selection criteria. Journal of Classification, 25, 67-85.
-
(2008)
Journal of Classification
, vol.25
, pp. 67-85
-
-
Schepers, J.1
Ceulemans, E.2
van Mechelen, I.3
-
13
-
-
33750722429
-
Three-mode partitioning
-
Schepers, J., Van Mechelen, I., & Ceulemans, E. (2006). Three-mode partitioning. Computational Statistics & Data Analysis, 51, 1623-1642.
-
(2006)
Computational Statistics & Data Analysis
, vol.51
, pp. 1623-1642
-
-
Schepers, J.1
van Mechelen, I.2
Ceulemans, E.3
-
14
-
-
0021202650
-
K-means type algorithms: A generalized convergence theorem and characterization of local optimality
-
Selim, S. Z., & Ismail, M. A. (1984). K-means type algorithms: A generalized convergence theorem and characterization of local optimality. IEEE Transactions on Pattern Analysis & Machine Intelligence, 6, 81-87.
-
(1984)
IEEE Transactions on Pattern Analysis & Machine Intelligence
, vol.6
, pp. 81-87
-
-
Selim, S.Z.1
Ismail, M.A.2
-
15
-
-
0142136684
-
Local optima in K-means clustering: What you don't know may hurt you
-
Steinley, D. (2003). Local optima in K-means clustering: What you don't know may hurt you. Psychological Methods, 8, 294-304.
-
(2003)
Psychological Methods
, vol.8
, pp. 294-304
-
-
Steinley, D.1
-
16
-
-
0034183641
-
Three-mode principal components analysis: Choosing the numbers of components and sensitivity to local optima
-
Timmerman, M. E., & Kiers, H. A. L. (2000). Three-mode principal components analysis: Choosing the numbers of components and sensitivity to local optima. British Journal of Mathematical & Statistical Psychology, 53, 1-16.
-
(2000)
British Journal of Mathematical & Statistical Psychology
, vol.53
, pp. 1-16
-
-
Timmerman, M.E.1
Kiers, H.A.L.2
-
17
-
-
6444228650
-
Two-mode clustering methods: A structured overview
-
Van Mechelen, I., Bock, H.-H., & De Boeck, P. (2004). Two-mode clustering methods: A structured overview. Statistical Methods in Medical Research, 13, 363-394.
-
(2004)
Statistical Methods in Medical Research
, vol.13
, pp. 363-394
-
-
van Mechelen, I.1
Bock, H.-H.2
de Boeck, P.3
-
18
-
-
34548213834
-
A unifying model involving a categorical and/or dimensional reduction for multimode data
-
Van Mechelen, I., & Schepers, J. (2007). A unifying model involving a categorical and/or dimensional reduction for multimode data. Computational Statistics & Data Analysis, 52, 537-549.
-
(2007)
Computational Statistics & Data Analysis
, vol.52
, pp. 537-549
-
-
van Mechelen, I.1
Schepers, J.2
-
19
-
-
62849087431
-
-
(Rep. EI 2005-33). Rotterdam: Erasmus Universiteit Rotterdam, Econometric Institute
-
van Rosmalen, J., Groenen, P. J., Trejos, J., & Castillo, W. (2005). Global optimization strategies for two-mode clustering (Rep. EI 2005-33). Rotterdam: Erasmus Universiteit Rotterdam, Econometric Institute.
-
(2005)
Global Optimization Strategies for Two-Mode Clustering
-
-
van Rosmalen, J.1
Groenen, P.J.2
Trejos, J.3
Castillo, W.4
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