-
2
-
-
0027928863
-
Applications of weighted voronoi diagrams and randomization to variance-based k-clustering
-
M. Inaba, N. Katoh, H. Imai, Applications of weighted voronoi diagrams and randomization to variance-based k-clustering, in: Proceedings of the 10th Annual ACM Symposium on Computational Geometry (SCG 1994), 1994, pp. 332-339.
-
(1994)
Proceedings of the 10th Annual ACM Symposium on Computational Geometry (SCG 1994)
, pp. 332-339
-
-
Inaba, M.1
Katoh, N.2
Imai, H.3
-
5
-
-
0033204902
-
An empirical comparison of four initialization methods for the K-means algorithm
-
J.M. Peña, J.A. Lozano, and P. Larrañaga An empirical comparison of four initialization methods for the K-means algorithm Pattern Recognit. Lett. 20 10 1999 1027 1040
-
(1999)
Pattern Recognit. Lett.
, vol.20
, Issue.10
, pp. 1027-1040
-
-
Peña, J.M.1
Lozano, J.A.2
Larrañaga, P.3
-
6
-
-
34250871625
-
Initializing K-means batch clustering a critical evaluation of several techniques
-
D. Steinley, and M.J. Brusco Initializing K-means batch clustering a critical evaluation of several techniques J. Class. 24 1 2007 99 121
-
(2007)
J. Class.
, vol.24
, Issue.1
, pp. 99-121
-
-
Steinley, D.1
Brusco, M.J.2
-
7
-
-
84969135721
-
K-means++: The advantages of careful seeding
-
D. Arthur, S. Vassilvitskii, k-means++: the advantages of careful seeding, in: SODA '07: Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, Society for Industrial and Applied Mathematics, Philadelphia, PA, USA, 2007, pp. 1027-1035.
-
(2007)
SODA '07: Proceedings of the Eighteenth Annual ACM-SIAM Symposium on Discrete Algorithms, Society for Industrial and Applied Mathematics, Philadelphia, PA, USA
, pp. 1027-1035
-
-
Arthur, D.1
Vassilvitskii, S.2
-
8
-
-
33749431905
-
Chapter 20. An Example Inference task: Clustering
-
Cambridge University Press, Cambridge
-
D. MacKay, "Chapter 20. An Example Inference task: Clustering", in: Information Theory, Inference and Learning Algorithms, Cambridge University Press, Cambridge, 2003, pp. 284-292.
-
(2003)
Information Theory, Inference and Learning Algorithms
, pp. 284-292
-
-
Mackay, D.1
-
11
-
-
33244462619
-
Iterative shrinking method for clustering problems
-
P. Fränti, and O. Virmajoki Iterative shrinking method for clustering problems Pattern Recognit. 39 5 2006 761 765
-
(2006)
Pattern Recognit.
, vol.39
, Issue.5
, pp. 761-765
-
-
Fränti, P.1
Virmajoki, O.2
-
12
-
-
0034345982
-
Randomized local search algorithm for the clustering problem
-
P. Fränti, and J. Kivijärvi Randomized local search algorithm for the clustering problem Pattern Anal. Appl. 3 4 2000 358 369
-
(2000)
Pattern Anal. Appl.
, vol.3
, Issue.4
, pp. 358-369
-
-
Fränti, P.1
Kivijärvi, J.2
-
13
-
-
0001820920
-
X-means: Extending k-means with efficient estimation of the number of clusters
-
D. Pelleg, A. Moore, X-means: extending k-means with efficient estimation of the number of clusters, in: Proceedings of the Seventeenth International Conference on Machine Learning, Morgan Kaufmann, San Francisco, 2000, pp. 727-734.
-
(2000)
Proceedings of the Seventeenth International Conference on Machine Learning, Morgan Kaufmann, San Francisco
, pp. 727-734
-
-
Pelleg, D.1
Moore, A.2
-
15
-
-
0002629270
-
Maximun likelihood from incomplete data via the em algorithm
-
A.P. Dempster, N.M. Laird, and D.B. Rubin Maximun likelihood from incomplete data via the EM algorithm J. R. Stat. Soc. B 39 1977 1 38
-
(1977)
J. R. Stat. Soc. B
, vol.39
, pp. 1-38
-
-
Dempster, A.P.1
Laird, N.M.2
Rubin, D.B.3
-
16
-
-
77951958772
-
Random swap em algorithm for finite mixture models in image segmentation
-
Q. Zhao, V. Hautamäki, I. Kärkkäinen, P. Fränti, Random swap EM algorithm for finite mixture models in image segmentation, in: 16th IEEE International Conference on Image Processing (ICIP), 2009, pp. 2397-2400.
-
(2009)
16th IEEE International Conference on Image Processing (ICIP)
, pp. 2397-2400
-
-
Zhao, Q.1
Hautamäki, V.2
Kärkkäinen, I.3
Fränti, P.4
-
17
-
-
78149301227
-
A min-max cut algorithm for graph partitioning and data clustering
-
C.H.Q. Ding, X. He, H. Zha, M. Gu, H.D. Simon, A min-max cut algorithm for graph partitioning and data clustering, in: Proceedings of IEEE International Conference on Data Mining (ICDM), 2001, pp. 107-114.
-
(2001)
Proceedings of IEEE International Conference on Data Mining (ICDM)
, pp. 107-114
-
-
Ding, C.H.Q.1
He, X.2
Zha, H.3
Gu, M.4
Simon, H.D.5
-
18
-
-
84865585566
-
Clustering by analytic functions
-
M.I. Malinen, and P. Fränti Clustering by analytic functions Inf. Sci. 217 0 2012 31 38
-
(2012)
Inf. Sci.
, vol.217
, Issue.0
, pp. 31-38
-
-
Malinen, M.I.1
Fränti, P.2
-
19
-
-
80055032714
-
Model order selection for multiple cooperative swarms clustering using stability analysis
-
A. Ahmadi, F. Karray, and M.S. Kamel Model order selection for multiple cooperative swarms clustering using stability analysis Inf. Sci. 182 1 2012 169 183
-
(2012)
Inf. Sci.
, vol.182
, Issue.1
, pp. 169-183
-
-
Ahmadi, A.1
Karray, F.2
Kamel, M.S.3
-
20
-
-
79957494283
-
Minimum spanning tree based split-and-merge a hierarchical clustering method
-
C. Zhong, D. Miao, and P. Fränti Minimum spanning tree based split-and-merge a hierarchical clustering method Inf. Sci. 181 16 2011 3397 3410
-
(2011)
Inf. Sci.
, vol.181
, Issue.16
, pp. 3397-3410
-
-
Zhong, C.1
Miao, D.2
Fränti, P.3
-
21
-
-
0000008146
-
Comparing partitions
-
L. Hubert, and P. Arabie Comparing partitions J. Class. 2 1 1985 193 218
-
(1985)
J. Class.
, vol.2
, Issue.1
, pp. 193-218
-
-
Hubert, L.1
Arabie, P.2
-
23
-
-
78649420560
-
Information theoretic measures for clusterings comparison variants, properties, normalization and correction for change
-
N. Vinh, J. Epps, and J. Bailey Information theoretic measures for clusterings comparison variants, properties, normalization and correction for change J. Mach. Learn. Res. 11 2010 2837 2854
-
(2010)
J. Mach. Learn. Res.
, vol.11
, pp. 2837-2854
-
-
Vinh, N.1
Epps, J.2
Bailey, J.3
|