-
1
-
-
62249143532
-
NP-hardness of Euclidean sum-of-squares clustering
-
ADHP09
-
[ADHP09] Aloise, D., Deshpande, A., Hansen, P., Popat, P.: NP-hardness of Euclidean sum-of-squares clustering. Machine Learning 75(2), 245-248 (2009)
-
(2009)
Machine Learning
, vol.75
, Issue.2
, pp. 245-248
-
-
Aloise, D.1
Deshpande, A.2
Hansen, P.3
Popat, P.4
-
5
-
-
23844463259
-
-
CGTS02, Journal of Computer and System Sciences
-
[CGTS02] Charikar, M., Guha, S., Tardos, M., Shmoys, D.: A constant factor approximation for the k-median problem. Journal of Computer and System Sciences (2002)
-
(2002)
A constant factor approximation for the k-median problem
-
-
Charikar, M.1
Guha, S.2
Tardos, M.3
Shmoys, D.4
-
6
-
-
77954653167
-
On coresets for k-median and k-means clustering in metric and euclidean spaces and their applications
-
Che09
-
[Che09] Chen, K.: On coresets for k-median and k-means clustering in metric and euclidean spaces and their applications. Submitted to SIAM Journal on Computing (SICOMP) (2009)
-
(2009)
Submitted to SIAM Journal on Computing (SICOMP)
-
-
Chen, K.1
-
7
-
-
0038447051
-
Better streaming algorithms for clustering problems
-
COP03, STOC, pp
-
[COP03] Charikar, M., O'Callaghan, L., Panigrahy, R.: Better streaming algorithms for clustering problems. In: ACM Symposium on Theory of Computing (STOC), pp. 30-39 (2003)
-
(2003)
ACM Symposium on Theory of Computing
, pp. 30-39
-
-
Charikar, M.1
O'Callaghan, L.2
Panigrahy, R.3
-
8
-
-
62249180094
-
The hardness of k-means clustering
-
Das08, Tech. Report CS2008-0916, UC San Diego
-
[Das08] Dasgupta, S.: The hardness of k-means clustering, Tech. Report CS2008-0916, UC San Diego (2008)
-
(2008)
-
-
Dasgupta, S.1
-
9
-
-
0038784715
-
Approximation schemes for clustering problems
-
dlVKKR03, ACM Press, New York
-
[dlVKKR03] de la Vega, F., Karpinski, M., Kenyon, C., Rabani, Y.: Approximation schemes for clustering problems. In: ACM Symposium on Theory of Computing (STOC), pp. 50-58. ACM Press, New York (2003)
-
(2003)
ACM Symposium on Theory of Computing (STOC)
, pp. 50-58
-
-
de la Vega, F.1
Karpinski, M.2
Kenyon, C.3
Rabani, Y.4
-
11
-
-
0038633423
-
-
[GMM+03] Guha, S., Meyerson, A., Mishra, N., Motwani, R., O'Callaghan, L.: Clustering data streams: Theory and practice. IEEE Transactions on Knowledge and Data Engineering 15(3), 515-528 (2003)
-
[GMM+03] Guha, S., Meyerson, A., Mishra, N., Motwani, R., O'Callaghan, L.: Clustering data streams: Theory and practice. IEEE Transactions on Knowledge and Data Engineering 15(3), 515-528 (2003)
-
-
-
-
12
-
-
0021938963
-
Clustering to minimize the maximum intercluster distance
-
Gon85
-
[Gon85] Gonzalez, T.: Clustering to minimize the maximum intercluster distance. Theoretical Computer Science 38, 293-306 (1985)
-
(1985)
Theoretical Computer Science
, vol.38
, pp. 293-306
-
-
Gonzalez, T.1
-
13
-
-
4544303932
-
On core-sets for k-means and k-median clustering
-
HPM04, STOC, pp
-
[HPM04] Har-Peled, S., Mazumdar, S.: On core-sets for k-means and k-median clustering. In: ACM Symposium on Theory of Computing (STOC), pp. 291-300 (2004)
-
(2004)
ACM Symposium on Theory of Computing
, pp. 291-300
-
-
Har-Peled, S.1
Mazumdar, S.2
-
14
-
-
0000682161
-
Approximation algorithms for metric facility loca- tion and k-median problems using the primal-dual schema and Lagrangian relaxation
-
JV01
-
[JV01] Jain, K., Vazirani, V.: Approximation algorithms for metric facility loca- tion and k-median problems using the primal-dual schema and Lagrangian relaxation. Journal of ACM 48, 274-296 (2001)
-
(2001)
Journal of ACM
, vol.48
, pp. 274-296
-
-
Jain, K.1
Vazirani, V.2
-
15
-
-
2442683961
-
-
[KMN+04] Kanugo, T., Mount, D., Netanyahu, N., Piatko, C., Silverman, R., Wu, A.: A local search approximation algorithm for k-means clustering. Computational Geometry 28(2-3), 89-112 (2004)
-
[KMN+04] Kanugo, T., Mount, D., Netanyahu, N., Piatko, C., Silverman, R., Wu, A.: A local search approximation algorithm for k-means clustering. Computational Geometry 28(2-3), 89-112 (2004)
-
-
-
-
16
-
-
70449725861
-
-
[KNV08] Kanade, G., Nimbhorkar, P., Varadarajan, K.: On the NP-hardness of the 2-means problem (unpublished manuscript) (2008)
-
[KNV08] Kanade, G., Nimbhorkar, P., Varadarajan, K.: On the NP-hardness of the 2-means problem (unpublished manuscript) (2008)
-
-
-
-
17
-
-
11244288693
-
A simple linear time (1 + ε)- approximation algorithm for k-means clustering in any dimensions
-
KSS04
-
[KSS04] Kumar, A., Sabharwal, Y., Sen, S.: A simple linear time (1 + ε)- approximation algorithm for k-means clustering in any dimensions. In: IEEE Symposium on Foundations of Computer Science (FOCS), pp. 454-462 (2004)
-
(2004)
IEEE Symposium on Foundations of Computer Science (FOCS)
, pp. 454-462
-
-
Kumar, A.1
Sabharwal, Y.2
Sen, S.3
-
18
-
-
0020102027
-
Least squares quantization in pcm
-
Llo82
-
[Llo82] Lloyd, S.: Least squares quantization in pcm. IEEE Transactions on Information Theory 28(2), 129-136 (1982)
-
(1982)
IEEE Transactions on Information Theory
, vol.28
, Issue.2
, pp. 129-136
-
-
Lloyd, S.1
-
19
-
-
0034417244
-
On approximate geometric k-clustering
-
Mat00
-
[Mat00] Matoušek, J.: On approximate geometric k-clustering. Discrete and Computational Geometry 24(1), 61-84 (2000)
-
(2000)
Discrete and Computational Geometry
, vol.24
, Issue.1
, pp. 61-84
-
-
Matoušek, J.1
-
21
-
-
67650468452
-
The planar k-means problem is NP-hard
-
MNV09, Das, S, Uehara, R, eds, WALCOM 2009, Springer, Heidelberg
-
[MNV09] Mahajan, M., Nimbhorkar, P., Varadarajan, K.: The planar k-means problem is NP-hard. In: Das, S., Uehara, R. (eds.) WALCOM 2009. LNCS, vol. 5431, pp. 274-285. Springer, Heidelberg (2009)
-
(2009)
LNCS
, vol.5431
, pp. 274-285
-
-
Mahajan, M.1
Nimbhorkar, P.2
Varadarajan, K.3
-
22
-
-
70449712729
-
Optimal time bounds for approximate clustering
-
MP02
-
[MP02] Mettu, R., Plaxton, C.: Optimal time bounds for approximate clustering. Machine Learning, 344-351 (2002)
-
(2002)
Machine Learning
, vol.344-351
-
-
Mettu, R.1
Plaxton, C.2
-
23
-
-
35348899361
-
The effectiveness of Lloyd-type methods for the k-means problem
-
ORSS06
-
[ORSS06] Ostrovsky, R., Rabani, Y., Schulman, L., Swamy, C.: The effectiveness of Lloyd-type methods for the k-means problem. In: IEEE Symposium on Foundations of Computer Science (FOCS), pp. 165-176 (2006)
-
(2006)
IEEE Symposium on Foundations of Computer Science (FOCS)
, pp. 165-176
-
-
Ostrovsky, R.1
Rabani, Y.2
Schulman, L.3
Swamy, C.4
-
24
-
-
70949100815
-
-
[Vat09] Vattani, A.: k-means requires exponentially many iterations even in the plane. In: Annual Symposium on Computational Geometry (SOCG) (2009)
-
[Vat09] Vattani, A.: k-means requires exponentially many iterations even in the plane. In: Annual Symposium on Computational Geometry (SOCG) (2009)
-
-
-
|