-
2
-
-
67649643458
-
A framework for clustering massive-domain data streams
-
C. C. Aggarwal. A framework for clustering massive-domain data streams. In ICDE, pages 102-113, 2009.
-
(2009)
ICDE
, pp. 102-113
-
-
Aggarwal, C.C.1
-
3
-
-
78650239815
-
Local matrix adaptation in topographic neural maps
-
B. Arnonkijpanich, A. Hasenfuss, and B. Hammer. Local matrix adaptation in topographic neural maps. Neurocomputing, 74(4):522-539, 2011.
-
(2011)
Neurocomputing
, vol.74
, Issue.4
, pp. 522-539
-
-
Arnonkijpanich, B.1
Hasenfuss, A.2
Hammer, B.3
-
5
-
-
0036036832
-
Approximate clustering via core-sets
-
M. Badoiu, S. Har-Peled, and P. Indyk. Approximate clustering via core-sets. In STOC, pages 250-257, 2002.
-
(2002)
STOC
, pp. 250-257
-
-
Badoiu, M.1
Har-Peled, S.2
Indyk, P.3
-
6
-
-
9444254174
-
A framework for statistical clustering with a constant time approximation algorithms for k-median clustering
-
Springer
-
S. Ben-david. A framework for statistical clustering with a constant time approximation algorithms for k-median clustering. In In COLT, pages 415-426. Springer, 2004.
-
(2004)
In COLT
, pp. 415-426
-
-
Ben-David, S.1
-
8
-
-
0015644823
-
Cluster validity with fuzzy sets
-
J. Bezdek. Cluster validity with fuzzy sets. Journal of Cybernetics, 3:58-73, 1974.
-
(1974)
Journal of Cybernetics
, vol.3
, pp. 58-73
-
-
Bezdek, J.1
-
10
-
-
0000521616
-
Superparamagnetic clustering of data
-
M. Blatt, S. Wiseman, and E. Domany. Superparamagnetic clustering of data. Phys Rev Lett, 76(18):3251-3254, 1996.
-
(1996)
Phys Rev Lett
, vol.76
, Issue.18
, pp. 3251-3254
-
-
Blatt, M.1
Wiseman, S.2
Domany, E.3
-
11
-
-
79957576314
-
Disjoint unions of complete graphs characterized by their laplacian spectrum
-
R. Boulet. Disjoint unions of complete graphs characterized by their laplacian spectrum. The Electronic journal of Linear Algebra, 18:773-783, 2009.
-
(2009)
The Electronic Journal of Linear Algebra
, vol.18
, pp. 773-783
-
-
Boulet, R.1
-
12
-
-
40849145323
-
Batch kernel som and related laplacian methods for social network analysis
-
R. Boulet, B. Jouve, F. Rossi, and N. Villa. Batch kernel som and related laplacian methods for social network analysis. Neurocomputing, 71(7-9):1257-1273, 2008.
-
(2008)
Neurocomputing
, vol.71
, Issue.7-9
, pp. 1257-1273
-
-
Boulet, R.1
Jouve, B.2
Rossi, F.3
Villa, N.4
-
13
-
-
34548201394
-
High-Dimensional Data Clustering
-
C. Bouveyron, S. Girard, and C. Schmid. High-Dimensional Data Clustering. Computational Statistics and Data Analysis, 52(1):502-519, 2007.
-
(2007)
Computational Statistics and Data Analysis
, vol.52
, Issue.1
, pp. 502-519
-
-
Bouveyron, C.1
Girard, S.2
Schmid, C.3
-
14
-
-
81355160163
-
Model-based clustering of time series in group-specific functional subspaces
-
C. Bouveyron and J. Jacques. Model-based clustering of time series in group-specific functional subspaces. Advances in Data Analysis and Classification, 5(4):281-300, 2011.
-
(2011)
Advances in Data Analysis and Classification
, vol.5
, Issue.4
, pp. 281-300
-
-
Bouveyron, C.1
Jacques, J.2
-
16
-
-
77951952667
-
Characterization, stability and convergence of hierarchical clustering methods
-
August
-
G. Carlsson and F. Mémoli. Characterization, stability and convergence of hierarchical clustering methods. J. Mach. Learn. Res., 11:1425-1470, August 2010.
-
(2010)
J. Mach. Learn. Res.
, vol.11
, pp. 1425-1470
-
-
Carlsson, G.1
Mémoli, F.2
-
17
-
-
84947783257
-
Dissimilarity clustering by hierarchical multi-level refinement
-
B. Conan-Guez and F. Rossi. Dissimilarity clustering by hierarchical multi-level refinement. In ESANN’12, 2012.
-
(2012)
ESANN’12
-
-
Conan-Guez, B.1
Rossi, F.2
-
18
-
-
33746583167
-
Batch and median neural gas
-
M. Cottrell, B. Hammer, A. Hasenfuss, and T. Villmann. Batch and median neural gas. Neural Networks, 19:762-771, 2006.
-
(2006)
Neural Networks
, vol.19
, pp. 762-771
-
-
Cottrell, M.1
Hammer, B.2
Hasenfuss, A.3
Villmann, T.4
-
20
-
-
77649330804
-
Defining pobability density for a distribution of random functions
-
A. Delaigle and P. Hall. Defining pobability density for a distribution of random functions. The Annals of Statistics, 38:1171-1193, 2010.
-
(2010)
The Annals of Statistics
, vol.38
, pp. 1171-1193
-
-
Delaigle, A.1
Hall, P.2
-
21
-
-
34548748711
-
Weighted graph cuts without eigenvectors a multilevel approach
-
I. Dhillon, Y. Guan, and B. Kulis. Weighted graph cuts without eigenvectors a multilevel approach. IEEE Transactions on Pattern Analysis and Machine Intelligence, 29(11):1944-1957, 2007.
-
(2007)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.29
, Issue.11
, pp. 1944-1957
-
-
Dhillon, I.1
Guan, Y.2
Kulis, B.3
-
23
-
-
84941155240
-
Well separated clusters and optimal fuzzy partitions
-
J. Dunn. Well separated clusters and optimal fuzzy partitions. Journal of Cybernetics, 4(1):1974, 95-104.
-
(1974)
Journal of Cybernetics
, vol.4
, Issue.1
, pp. 95-104
-
-
Dunn, J.1
-
24
-
-
84947773160
-
A discussion on parallelization schemes for stochastic vector quantization algorithms
-
M. Durut, B. Patra, and F. Rossi. A discussion on parallelization schemes for stochastic vector quantization algorithms. In ESANN’12, 2012.
-
(2012)
ESANN’12
-
-
Durut, M.1
Patra, B.2
Rossi, F.3
-
25
-
-
84875818260
-
Modularity-based clustering for network-constrained trajectories
-
M. K. el Mahrsi and F. Rossi. Modularity-based clustering for network-constrained trajectories. In ESANN’12, 2012.
-
(2012)
ESANN’12
-
-
El Mahrsi, M.K.1
Rossi, F.2
-
26
-
-
85162319688
-
Sparse manifold clustering and embedding
-
J. Shawe-Taylor, R. Zemel, P. Bartlett, F. Pereira, and K.Weinberger, editors
-
E. Elhamifar and R. Vidal. Sparse manifold clustering and embedding. In J. Shawe-Taylor, R. Zemel, P. Bartlett, F. Pereira, and K.Weinberger, editors, Advances in Neural Information Processing Systems 24, pages 55-63. 2011.
-
(2011)
Advances in Neural Information Processing Systems
, vol.24
, pp. 55-63
-
-
Elhamifar, E.1
Vidal, R.2
-
27
-
-
33845913997
-
Nonparametric functional data analysis
-
Springer, New York
-
F. Ferraty and P. Vieu. Nonparametric functional data analysis. Springer Series in Statistics. Springer, New York, 2006.
-
(2006)
Springer Series in Statistics
-
-
Ferraty, F.1
Vieu, P.2
-
28
-
-
80052686089
-
Clustering very large multi-dimensional datasets with mapreduce
-
New York, NY, USA, ACM
-
R. L. Ferreira Cordeiro, C. Traina, Junior, A. J. Machado Traina, J. López, U. Kang, and C. Faloutsos. Clustering very large multi-dimensional datasets with mapreduce. In Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining, KDD’11, pages 690-698, New York, NY, USA, 2011. ACM.
-
(2011)
In Proceedings of the 17Th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD’11
, pp. 690-698
-
-
Ferreira Cordeiro, R.L.1
Traina, C.2
Junior, A.J.3
Traina, M.4
López, J.5
Kang, U.6
Faloutsos, C.7
-
29
-
-
0742286179
-
Spectral grouping using the nyström method
-
C. Fowlkes, S. Belongie, F. Chung, and J. Malik. Spectral grouping using the nyström method. IEEE Transactions on Pattern Analysis and Machine Intelligence, 26(2):214-225, 2004.
-
(2004)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.26
, Issue.2
, pp. 214-225
-
-
Fowlkes, C.1
Belongie, S.2
Chung, F.3
Malik, J.4
-
30
-
-
0035998835
-
Model-based clustering, discriminant analysis and density estimation
-
C. Fraley and A. Raftery. Model-based clustering, discriminant analysis and density estimation. J. Amer. Statist. Assoc., 97:611-631, 2002.
-
(2002)
J. Amer. Statist. Assoc.
, vol.97
, pp. 611-631
-
-
Fraley, C.1
Raftery, A.2
-
31
-
-
33847172327
-
Clustering by passing messages between data points
-
B. J. Frey and D. Dueck. Clustering by passing messages between data points. Science, 315:972-976, 2007.
-
(2007)
Science
, vol.315
, pp. 972-976
-
-
Frey, B.J.1
Dueck, D.2
-
34
-
-
77649237600
-
Median fuzzy c-means for clustering dissimilarity data
-
T. Geweniger, D. Zühlke, B. Hammer, and T. Villmann. Median fuzzy c-means for clustering dissimilarity data. Neurocomputing, 73(7-9):1109-1116, 2010.
-
(2010)
Neurocomputing
, vol.73
, Issue.7-9
, pp. 1109-1116
-
-
Geweniger, T.1
Zühlke, D.2
Hammer, B.3
Villmann, T.4
-
35
-
-
0036565280
-
Mercer kernel-based clustering in feature space
-
M. Girolami. Mercer kernel-based clustering in feature space. IEEE Transactions on Neural Networks, 13(3):780-784, 2002.
-
(2002)
IEEE Transactions on Neural Networks
, vol.13
, Issue.3
, pp. 780-784
-
-
Girolami, M.1
-
37
-
-
80053167930
-
Hierarchical affinity propagation
-
Corvallis, Oregon, AUAI Press
-
I. Givoni, C. Chung, and B. Frey. Hierarchical affinity propagation. In Proceedings of the Twenty-Seventh Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-11), pages 238-246, Corvallis, Oregon, 2011. AUAI Press.
-
(2011)
In Proceedings of the Twenty-Seventh Conference Annual Conference on Uncertainty in Artificial Intelligence (UAI-11)
, pp. 238-246
-
-
Givoni, I.1
Chung, C.2
Frey, B.3
-
39
-
-
0038633423
-
Clustering data streams: Theory and practice
-
S. Guha, A. Meyerson, N. Mishra, R. Motwani, and L. O’Callaghan. Clustering data streams: Theory and practice. IEEE Transactions on Knowledge and Data Engineering, 15(3):515-528, 2003.
-
(2003)
IEEE Transactions on Knowledge and Data Engineering
, vol.15
, Issue.3
, pp. 515-528
-
-
Guha, S.1
Meyerson, A.2
Mishra, N.3
Motwani, R.4
O’Callaghan, L.5
-
41
-
-
78149341007
-
Topographic mapping of large dissimilarity datasets
-
B. Hammer and A. Hasenfuss. Topographic mapping of large dissimilarity datasets. Neural Computation, 22(9):2229-2284, 2010.
-
(2010)
Neural Computation
, vol.22
, Issue.9
, pp. 2229-2284
-
-
Hammer, B.1
Hasenfuss, A.2
-
42
-
-
1542786232
-
A general framework for unsupervised processing of structured data
-
B. Hammer, A. Micheli, A. Sperduti, and M. Strickert. A general framework for unsupervised processing of structured data. Neurocomputing, 57:3-35, 2004.
-
(2004)
Neurocomputing
, vol.57
, pp. 3-35
-
-
Hammer, B.1
Micheli, A.2
Sperduti, A.3
Strickert, M.4
-
44
-
-
0028667335
-
Nerf c-means: Non-euclidean relational fuzzy clustering
-
R. Hathaway and J. Bezdek. Nerf c-means: Non-euclidean relational fuzzy clustering. Pattern Recognition, 27(3):429-437, 1994.
-
(1994)
Pattern Recognition
, vol.27
, Issue.3
, pp. 429-437
-
-
Hathaway, R.1
Bezdek, J.2
-
46
-
-
18144419389
-
Automated variable weighting in k-means type clustering
-
J. Huang, M. Ng, H. Rong, and Z. Li. Automated variable weighting in k-means type clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(5):657-668, 2005.
-
(2005)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.27
, Issue.5
, pp. 657-668
-
-
Huang, J.1
Ng, M.2
Rong, H.3
Li, Z.4
-
47
-
-
0032595161
-
A fuzzy k-modes algorithm for clustering categorical data
-
Z. Huang and M. Ng. A fuzzy k-modes algorithm for clustering categorical data. IEEE Transactions on Fuzzy Systems, 7(4):446-452, 1999.
-
(1999)
IEEE Transactions on Fuzzy Systems
, vol.7
, Issue.4
, pp. 446-452
-
-
Huang, Z.1
Ng, M.2
-
48
-
-
84947742596
-
Curves clustering with approximation of the density of functional random variables
-
J. Jacques and C. Preda. Curves clustering with approximation of the density of functional random variables. In ESANN, 2012.
-
(2012)
ESANN
-
-
Jacques, J.1
Preda, C.2
-
49
-
-
77950369345
-
Data clustering: 50 years beyond k-means
-
A. K. Jain. Data clustering: 50 years beyond k-means. Pattern Recognition Letters, 31(8):651-666, 2010.
-
(2010)
Pattern Recognition Letters
, vol.31
, Issue.8
, pp. 651-666
-
-
Jain, A.K.1
-
50
-
-
0043245795
-
Clustering for sparsely sampled functional data
-
G. James and C. Sugar. Clustering for sparsely sampled functional data. J. Amer. Statist. Assoc., 98(462):397-408, 2003.
-
(2003)
J. Amer. Statist. Assoc.
, vol.98
, Issue.462
, pp. 397-408
-
-
James, G.1
Sugar, C.2
-
51
-
-
0036647190
-
An efficient k-means clustering algorithms: Analysis and implementation
-
T. Kanungo, D. Mount, N. Netanyahu, C. Piatko, R. Silverman, and A. Wu. An efficient k-means clustering algorithms: Analysis and implementation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24(7):881-892, 2002.
-
(2002)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.24
, Issue.7
, pp. 881-892
-
-
Kanungo, T.1
Mount, D.2
Netanyahu, N.3
Piatko, C.4
Silverman, R.5
Wu, A.6
-
52
-
-
23844528211
-
Cluster center initialization algorithm for k-means clustering
-
S. Khan and A. Ahmad. Cluster center initialization algorithm for k-means clustering. Pattern Recognition Letters, 25(11):1293-1302, 2004.
-
(2004)
Pattern Recognition Letters
, vol.25
, Issue.11
, pp. 1293-1302
-
-
Khan, S.1
Ahmad, A.2
-
53
-
-
4544263146
-
On cluster validity index for estimation of the optimal number of fuzzy clusters
-
D.-W. Kim, K. Lee, and D. Lee. On cluster validity index for estimation of the optimal number of fuzzy clusters. Pattern Recognition, 37(10):2009-2025, 2004.
-
(2004)
Pattern Recognition
, vol.37
, Issue.10
, pp. 2009-2025
-
-
Kim, D.-W.1
Lee, K.2
Lee, D.3
-
54
-
-
85156277066
-
An impossibility theorem for clustering
-
J. M. Kleinberg. An impossibility theorem for clustering. In NIPS, pages 446-453, 2002.
-
(2002)
NIPS
, pp. 446-453
-
-
Kleinberg, J.M.1
-
55
-
-
0003410791
-
-
editors, Springer-Verlag New York, Inc., Secaucus, NJ, USA, 3rd edition
-
T. Kohonen, M. R. Schroeder, and T. S. Huang, editors. Self-Organizing Maps. Springer-Verlag New York, Inc., Secaucus, NJ, USA, 3rd edition, 2001.
-
(2001)
Self-Organizing Maps.
-
-
Kohonen, T.1
Schroeder, M.R.2
Huang, T.S.3
-
56
-
-
84947739151
-
Advances in Neural Information Processing Systems 21
-
editors, Vancouver, British Columbia, Canada, December 8-11, 2008. Curran Associates, Inc
-
D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou, editors. Advances in Neural Information Processing Systems 21, Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems, Vancouver, British Columbia, Canada, December 8-11, 2008. Curran Associates, Inc., 2009.
-
(2009)
Proceedings of the Twenty-Second Annual Conference on Neural Information Processing Systems
-
-
Koller, D.1
Schuurmans, D.2
Bengio, Y.3
Bottou, L.4
-
57
-
-
80053435626
-
-
L. Getoor and T. Scheffer, editors, ICML, Omnipress
-
S. Kpotufe and U. von Luxburg. Pruning nearest neighbor cluster trees. In L. Getoor and T. Scheffer, editors, ICML, pages 225-232. Omnipress, 2011.
-
(2011)
Pruning Nearest Neighbor Cluster Trees
, pp. 225-232
-
-
Kpotufe, S.1
Von Luxburg, U.2
-
58
-
-
0032178397
-
Cluster validity index for fuzzy clustering
-
S. Kwon. Cluster validity index for fuzzy clustering. Electronics Letters, 34(22):2176-2177, 1998.
-
(1998)
Electronics Letters
, vol.34
, Issue.22
, pp. 2176-2177
-
-
Kwon, S.1
-
59
-
-
84947714803
-
-
editors,. Proceedings of a meeting held 6-9 December 2010, Vancouver, British Columbia, Canada. Curran Associates, Inc
-
J. D. Lafferty, C. K. I. Williams, J. Shawe-Taylor, R. S. Zemel, and A. Culotta, editors. Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, Vancouver, British Columbia, Canada. Curran Associates, Inc., 2010.
-
(2010)
Advances in Neural Information Processing Systems 23: 24Th Annual Conference on Neural Information Processing Systems 2010
-
-
Lafferty, J.D.1
Williams, C.K.2
Shawe-Taylor, J.3
Zemel, R.S.4
Culotta, A.5
-
60
-
-
0036487280
-
The global k-means clustering algorithm
-
A. Likas, N. Vlassis, and J. J. Verbeek. The global k-means clustering algorithm. Pattern Recognition, 36(2):451-461, 2002.
-
(2002)
Pattern Recognition
, vol.36
, Issue.2
, pp. 451-461
-
-
Likas, A.1
Vlassis, N.2
Verbeek, J.J.3
-
61
-
-
77956497723
-
-
J. Fürnkranz and T. Joachims, editors, ICML, Omnipress
-
F. Lin and W. W. Cohen. Power iteration clustering. In J. Fürnkranz and T. Joachims, editors, ICML, pages 655-662. Omnipress, 2010.
-
(2010)
Power Iteration Clustering
, pp. 655-662
-
-
Lin, F.1
Cohen, W.W.2
-
62
-
-
17044405923
-
Toward integrating feature selection algorithms for classification and clustering
-
H. Liu and L. Yu. Toward integrating feature selection algorithms for classification and clustering. IEEE Transactions on Knowledge and Data Engineering, 17(4):491-502, 2005.
-
(2005)
IEEE Transactions on Knowledge and Data Engineering
, vol.17
, Issue.4
, pp. 491-502
-
-
Liu, H.1
Yu, L.2
-
63
-
-
34548583274
-
A tutorial on spectral clustering
-
U. V. 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
-
-
Luxburg, U.V.1
-
66
-
-
0027632248
-
’neural-gas’ network for vector quantization and its application to time-series prediction
-
T. M. Martinetz, S. G. Berkovich, and K. J. Schulten.’neural-gas’ network for vector quantization and its application to time-series prediction. IEEE Transactions on Neural Networks, 4(4):558-569, 1993.
-
(1993)
IEEE Transactions on Neural Networks
, vol.4
, Issue.4
, pp. 558-569
-
-
Martinetz, T.M.1
Berkovich, S.G.2
Schulten, K.J.3
-
67
-
-
65749115769
-
Variable selection for Clustering with Gaussian Mixture Models
-
C. Maugis, G. Celeux, and M.-L. Martin-Magniette. Variable selection for Clustering with Gaussian Mixture Models. Biometrics, 65(3):701-709, 2009.
-
(2009)
Biometrics
, vol.65
, Issue.3
, pp. 701-709
-
-
Maugis, C.1
Celeux, G.2
Martin-Magniette, M.-L.3
-
68
-
-
0033715579
-
Genetic algorithm-based clustering technique
-
U. Maulik and S. Bandyopadhyay. Genetic algorithm-based clustering technique. Pattern Recognition, 33(9):1455-1465, 2000.
-
(2000)
Pattern Recognition
, vol.33
, Issue.9
, pp. 1455-1465
-
-
Maulik, U.1
Bandyopadhyay, S.2
-
72
-
-
45449088666
-
Parsimonious Gaussian mixture models
-
P. McNicholas and B. Murphy. Parsimonious Gaussian mixture models. Statistics and Computing, 18(3):285-296, 2008.
-
(2008)
Statistics and Computing
, vol.18
, Issue.3
, pp. 285-296
-
-
McNicholas, P.1
Murphy, B.2
-
73
-
-
31844440880
-
Comparing clusterings: An axiomatic view
-
L. D. Raedt and S. Wrobel, editors,,. ACM
-
M. Meila. Comparing clusterings: an axiomatic view. In L. D. Raedt and S. Wrobel, editors, ICML, volume 119 of ACM International Conference Proceeding Series, pages 577-584. ACM, 2005.
-
(2005)
ICML, Volume 119 of ACM International Conference Proceeding Series
, pp. 577-584
-
-
Meila, M.1
-
74
-
-
0036709106
-
Clarans: A method for clustering objects for spatial data mining
-
R. Ng and J. Han. Clarans: A method for clustering objects for spatial data mining. IEEE Transactions on Knowledge and Data Engineering, 14(5):1003-1016, 2002.
-
(2002)
IEEE Transactions on Knowledge and Data Engineering
, vol.14
, Issue.5
, pp. 1003-1016
-
-
Ng, R.1
Han, J.2
-
75
-
-
0348108148
-
Validity index for crisp and fuzzy clusters
-
M. Pakhira, S. Bandyopadhyay, and U. Maulik. Validity index for crisp and fuzzy clusters. Pattern Recognition, 37(3):487-501, 2004.
-
(2004)
Pattern Recognition
, vol.37
, Issue.3
, pp. 487-501
-
-
Pakhira, M.1
Bandyopadhyay, S.2
Maulik, U.3
-
76
-
-
26844532803
-
A possibilistic fuzzy c-means clustering algorithm
-
N. Pal, K. Pal, J. Keller, and J. Bezdek. A possibilistic fuzzy c-means clustering algorithm. IEEE Transactions on Fuzzy Systems, 13(4):517-530, 2005.
-
(2005)
IEEE Transactions on Fuzzy Systems
, vol.13
, Issue.4
, pp. 517-530
-
-
Pal, N.1
Pal, K.2
Keller, J.3
Bezdek, J.4
-
77
-
-
34249029861
-
Penalized model-based clustering with application to variable selection
-
W. Pan and X. Shen. Penalized model-based clustering with application to variable selection. Journal of Machine Learning Research, 8:1145-1164, 2007.
-
(2007)
Journal of Machine Learning Research
, vol.8
, pp. 1145-1164
-
-
Pan, W.1
Shen, X.2
-
79
-
-
0004130505
-
-
Springer Series in Statistics. Springer, New York, second edition
-
J. O. Ramsay and B. W. Silverman. Functional data analysis. Springer Series in Statistics. Springer, New York, second edition, 2005.
-
(2005)
Functional Data Analysis
-
-
Ramsay, J.O.1
Silverman, B.W.2
-
80
-
-
0025585402
-
A deterministic annealing approach to clustering
-
K. Rose, E. Gurewitz, and G. Fox. A deterministic annealing approach to clustering. Pattern Recognition Letters, 11(9):589-594, 1990.
-
(1990)
Pattern Recognition Letters
, vol.11
, Issue.9
, pp. 589-594
-
-
Rose, K.1
Gurewitz, E.2
Fox, G.3
-
81
-
-
34250232348
-
EM algorithms for ML factor analysis
-
D. Rubin and D. Thayer. EM algorithms for ML factor analysis. Psychometrika, 47(1):69-76, 1982.
-
(1982)
Psychometrika
, vol.47
, Issue.1
, pp. 69-76
-
-
Rubin, D.1
Thayer, D.2
-
82
-
-
22044455069
-
Density-based clustering in spatial databases: The algorithm gdbscan and its applications
-
J. Sander, M. Ester, H.-P. Kriegel, and X. Xu. Density-based clustering in spatial databases: The algorithm gdbscan and its applications. Data Mining and Knowledge Discovery, 2:169-194, 1998.
-
(1998)
Data Mining and Knowledge Discovery
, vol.2
, pp. 169-194
-
-
Sander, J.1
Ester, M.2
Kriegel, H.-P.3
Xu, X.4
-
83
-
-
0021202650
-
K-means-type algorithms: A generalized convergence theorem and characterization of local optimality
-
S. Z. Selim and M. Ismail. K-means-type algorithms: A generalized convergence theorem and characterization of local optimality. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI-6(1):81-87, 1984.
-
(1984)
IEEE Transactions on Pattern Analysis and Machine Intelligence
, vol.PAMI-6
, Issue.1
, pp. 81-87
-
-
Selim, S.Z.1
Ismail, M.2
-
84
-
-
85162439676
-
Fast and accurate k-means for large datasets
-
J. Shawe-Taylor, R. Zemel, P. Bartlett, F. Pereira, and K. Weinberger, editors
-
M. Shindler, A. Wong, and A. W. Meyerson. Fast and accurate k-means for large datasets. In J. Shawe-Taylor, R. Zemel, P. Bartlett, F. Pereira, and K. Weinberger, editors, Advances in Neural Information Processing Systems 24, pages 2375-2383. 2011.
-
(2011)
Advances in Neural Information Processing Systems
, vol.24
, pp. 2375-2383
-
-
Shindler, M.1
Wong, A.2
Meyerson, A.W.3
-
85
-
-
0037560972
-
Clustering functional data
-
T. Tarpey and K. Kinateder. Clustering functional data. J. Classification, 20(1):93-114, 2003.
-
(2003)
J. Classification
, vol.20
, Issue.1
, pp. 93-114
-
-
Tarpey, T.1
Kinateder, K.2
-
86
-
-
79960700172
-
A validity index for prototype-based clustering of data sets with complex cluster structures
-
K. Tasdemir and E. Merényi. A validity index for prototype-based clustering of data sets with complex cluster structures. IEEE Transactions on Systems, Man, and Cybernetics, 41(4):1039--1053, 2011.
-
(2011)
IEEE Transactions on Systems, Man, and Cybernetics
, vol.41
, Issue.4
-
-
Tasdemir, K.1
Merényi, E.2
-
87
-
-
0033556788
-
Mixtures of Probabilistic Principal Component Analysers
-
E. Tipping and C. Bishop. Mixtures of Probabilistic Principal Component Analysers. Neural Computation, 11(2):443-482, 1999.
-
(1999)
Neural Computation
, vol.11
, Issue.2
, pp. 443-482
-
-
Tipping, E.1
Bishop, C.2
-
89
-
-
79954632157
-
K-means requires exponentially many iterations even in the plane
-
A. Vattani. k-means requires exponentially many iterations even in the plane. Discrete and Computational Geometry, 45(4):596-616, 2011.
-
(2011)
Discrete and Computational Geometry
, vol.45
, Issue.4
, pp. 596-616
-
-
Vattani, A.1
-
91
-
-
34547300830
-
-
Technical Report 149, Max Planck Institute for Biological Cybernetics, Aug
-
U. von Luxburg. A tutorial on spectral clustering. Technical Report 149, Max Planck Institute for Biological Cybernetics, Aug. 2006.
-
(2006)
A Tutorial on Spectral Clustering
-
-
Von Luxburg, U.1
-
93
-
-
84898975239
-
Limits of spectral clustering
-
L. K. Saul, Y. Weiss, and L. Bottou, editors, MIT Press, Cambridge, MA
-
U. von Luxburg, O. Bousquet, and M. Belkin. Limits of spectral clustering. In L. K. Saul, Y. Weiss, and L. Bottou, editors, Advances in Neural Information Processing Systems 17, pages 857-864. MIT Press, Cambridge, MA, 2005.
-
(2005)
Advances in Neural Information Processing Systems
, vol.17
, pp. 857-864
-
-
Von Luxburg, U.1
Bousquet, O.2
Belkin, M.3
-
94
-
-
0003241883
-
Spline models for observational data
-
Philadelphia
-
G. Wahba. Spline models for observational data. SIAM, Philadelphia, 1990.
-
(1990)
SIAM
-
-
Wahba, G.1
-
95
-
-
24044470614
-
Clustering of time series data-a survey
-
T. Warren Liao. Clustering of time series data-a survey. Pattern Recognition, 38:1857-1874, 2005.
-
(2005)
Pattern Recognition
, vol.38
, pp. 1857-1874
-
-
Warren Liao, T.1
-
99
-
-
33746596561
-
On the equivalence between kernel self-organising maps and self-organising mixture density networks
-
H. Yin. On the equivalence between kernel self-organising maps and self-organising mixture density networks. Neural Networks, 19(6-7):780-784, 2006.
-
(2006)
Neural Networks
, vol.19
, Issue.6-7
, pp. 780-784
-
-
Yin, H.1
-
100
-
-
78649332539
-
Validity index for clusters of different sizes and densities
-
K. Zalik. Validity index for clusters of different sizes and densities. Pattern Recognition Letters, 32:221-2234, 2011.
-
(2011)
Pattern Recognition Letters
, vol.32
, pp. 221-2234
-
-
Zalik, K.1
-
101
-
-
2142687208
-
A unified framework for model-based clustering
-
S. Zhong and J. Ghosh. A unified framework for model-based clustering. JMLR, 4:1001-1037, 2003.
-
(2003)
JMLR
, vol.4
, pp. 1001-1037
-
-
Zhong, S.1
Ghosh, J.2
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