-
1
-
-
3142665421
-
Correlation clustering
-
N. Bansal, A. Blum, and S. Chawla. Correlation clustering. Machine Learning, 56(1-3):89-113, 2004.
-
(2004)
Machine Learning
, vol.56
, Issue.1-3
, pp. 89-113
-
-
Bansal, N.1
Blum, A.2
Chawla, S.3
-
4
-
-
34250285795
-
U-statistic hierarchical clustering
-
R. D'Andrade. U-statistic hierarchical clustering. Psychometrika, 4:58-67, 1978.
-
(1978)
Psychometrika
, vol.4
, pp. 58-67
-
-
D'Andrade, R.1
-
7
-
-
56449090384
-
Temporal self-organizing maps for telecommunications market segmentation
-
P. D'Urso and L. D. Giovanni. Temporal self-organizing maps for telecommunications market segmentation. Neurocomput., 71:2880-2892, 2008.
-
(2008)
Neurocomput.
, vol.71
, pp. 2880-2892
-
-
D'Urso, P.1
Giovanni, L.D.2
-
9
-
-
33750441470
-
Marketing segmentation using support vector clustering
-
J. Huang, G. Tzeng, and C. Ong. Marketing segmentation using support vector clustering. Expert systems with applications, 32(2):313-317, 2007.
-
(2007)
Expert Systems with Applications
, vol.32
, Issue.2
, pp. 313-317
-
-
Huang, J.1
Tzeng, G.2
Ong, C.3
-
10
-
-
0001940458
-
Adaptive mixtures of local experts
-
R. Jacobs, M. Jordan, S. Nowlan, and G. Hinton. Adaptive mixtures of local experts. Neural computation, 3(1):79-87, 1991.
-
(1991)
Neural Computation
, vol.3
, Issue.1
, pp. 79-87
-
-
Jacobs, R.1
Jordan, M.2
Nowlan, S.3
Hinton, G.4
-
11
-
-
0014129195
-
Hierarchical clustering schemes
-
S. C. Johnson. Hierarchical clustering schemes. Psychometrika, 2:241-254, 1967.
-
(1967)
Psychometrika
, vol.2
, pp. 241-254
-
-
Johnson, S.C.1
-
12
-
-
0000262562
-
Hierarchical mixtures of experts and the em algorithm
-
M. Jordan and R. Jacobs. Hierarchical mixtures of experts and the em algorithm. Neural computation, 6(2):181-214, 1994.
-
(1994)
Neural Computation
, vol.6
, Issue.2
, pp. 181-214
-
-
Jordan, M.1
Jacobs, R.2
-
13
-
-
33747801029
-
An extended self-organizing map network for market segmentation - A telecommunication example
-
M. Y. Kiang, M. Y. Hu, and D. M. Fisher. An extended self-organizing map network for market segmentation - a telecommunication example. Decision Support Systems, 42:36-47, 2006.
-
(2006)
Decision Support Systems
, vol.42
, pp. 36-47
-
-
Kiang, M.Y.1
Hu, M.Y.2
Fisher, D.M.3
-
15
-
-
80052652249
-
Efficient large-scale distributed training of conditional maximum entropy models
-
G. Mann, R. McDonald, M. Mohri, N. Silberman, and D. Walker. Efficient large-scale distributed training of conditional maximum entropy models. Advances in Neural Information Processing Systems, 22:1231-1239, 2009.
-
(2009)
Advances in Neural Information Processing Systems
, vol.22
, pp. 1231-1239
-
-
Mann, G.1
McDonald, R.2
Mohri, M.3
Silberman, N.4
Walker, D.5
-
16
-
-
77950948562
-
A two phase clustering method for intelligent customer segmentation
-
IEEE
-
M. Namvar, M. Gholamian, and S. KhakAbi. A two phase clustering method for intelligent customer segmentation. In 2010 International Conference on Intelligent Systems, Modelling and Simulation, pages 215-219. IEEE, 2010.
-
(2010)
2010 International Conference on Intelligent Systems, Modelling and Simulation
, pp. 215-219
-
-
Namvar, M.1
Gholamian, M.2
KhakAbi, S.3
-
17
-
-
84866039832
-
Discriminative clustering: Optimal contingency tables by learning metrics
-
J. Sinkkonen, S. Kaski, and J. Nikkilä. Discriminative clustering: Optimal contingency tables by learning metrics. Machine Learning: ECML 2002, pages 109-137, 2002.
-
(2002)
Machine Learning: ECML 2002
, pp. 109-137
-
-
Sinkkonen, J.1
Kaski, S.2
Nikkilä, J.3
-
20
-
-
84898944155
-
Maximum margin clustering
-
L. Xu, J. Neufeld, B. Larson, and D. Schuurmans. Maximum margin clustering. Advances in neural information processing systems, 17:1537-1544, 2005.
-
(2005)
Advances in Neural Information Processing Systems
, vol.17
, pp. 1537-1544
-
-
Xu, L.1
Neufeld, J.2
Larson, B.3
Schuurmans, D.4
-
23
-
-
77951152091
-
Maximum margin clustering with multivariate loss function
-
IEEE
-
B. Zhao, J. Kwok, and C. Zhang. Maximum margin clustering with multivariate loss function. In Data Mining, 2009. ICDM'09. Ninth IEEE International Conference on, pages 637-646. IEEE, 2009.
-
(2009)
Data Mining, 2009. ICDM'09. Ninth IEEE International Conference on
, pp. 637-646
-
-
Zhao, B.1
Kwok, J.2
Zhang, C.3
|