-
1
-
-
0032156828
-
Polynomial time approximation schemes for euclidean tsp and other geometric problems
-
Sep
-
S. Arora. Polynomial time approximation schemes for euclidean tsp and other geometric problems. J. Assoc. Comput. Mach., 45(5):753-782, Sep 1998.
-
(1998)
J. Assoc. Comput. Mach.
, vol.45
, Issue.5
, pp. 753-782
-
-
Arora, S.1
-
2
-
-
9444237880
-
How fast is k-means?
-
number 2777 in Lect. Notes in Comp. Sci.
-
S. Dasgupta. How fast is k-means? In Proc. 16th Annu. Comp. Learn. Theo., number 2777 in Lect. Notes in Comp. Sci., page 735, 2003.
-
(2003)
Proc. 16th Annu. Comp. Learn. Theo.
, pp. 735
-
-
Dasgupta, S.1
-
3
-
-
0038784715
-
Approximation schemes for clustering problems
-
W. F. de la Vega, M. Karpinski, C. Kenyon, and Y. Rabani. Approximation schemes for clustering problems. In Proc. 35th Annu. ACM Sympos. Theory Comput., pages 50-58, 2003.
-
(2003)
Proc. 35th Annu. ACM Sympos. Theory Comput.
, pp. 50-58
-
-
De La Vega, W.F.1
Karpinski, M.2
Kenyon, C.3
Rabani, Y.4
-
4
-
-
0033317391
-
Centroidal voronoi tessellations; Applications and algorithms
-
Q. Du, V. Faber, and M. Gunzburger. Centroidal voronoi tessellations; Applications and algorithms. SIAM Review, 41(4):637-676, 1999.
-
(1999)
SIAM Review
, vol.41
, Issue.4
, pp. 637-676
-
-
Du, Q.1
Faber, V.2
Gunzburger, M.3
-
5
-
-
0003922190
-
-
Wiley-Interscience, New York, 2nd edition
-
R. O. Duda, P. E. Hart, and D. G. Stork. Pattern Classification. Wiley-Interscience, New York, 2nd edition, 2001.
-
(2001)
Pattern Classification
-
-
Duda, R.O.1
Hart, P.E.2
Stork, D.G.3
-
8
-
-
0027928863
-
Applications of weighted voronoi diagrams and randomization to variance-based k-clustering
-
M. Inaba, N. Katoh, and H. Imai. Applications of weighted voronoi diagrams and randomization to variance-based k-clustering. In Proc. 10th Annu. ACM Sympos. Comput. Geom., pages 332-339, 1994.
-
(1994)
Proc. 10th Annu. ACM Sympos. Comput. Geom.
, pp. 332-339
-
-
Inaba, M.1
Katoh, N.2
Imai, H.3
-
9
-
-
0036361823
-
A local search approximation algorithm for k-means clustering
-
Geom.
-
T. Kanungo, D. M. Mount, N. S. Netanyahu, C. D. Piatko, R. Silverman, and A. Y. Wu. A local search approximation algorithm for k-means clustering. In Proc. 18th Annu. ACM Sympos. Comput. Geom., pages 10-18, 2002.
-
(2002)
Proc. 18th Annu. ACM Sympos. Comput.
, pp. 10-18
-
-
Kanungo, T.1
Mount, D.M.2
Netanyahu, N.S.3
Piatko, C.D.4
Silverman, R.5
Wu, A.Y.6
-
10
-
-
11244288693
-
A simple linear time (1+ε)-approximation algorithm for k-means clustering in any dimensions
-
page to appear
-
A. Kumar, Y. Sabharwal, and S. Sen. A simple linear time (1+ε)-approximation algorithm for k-means clustering in any dimensions. In Proc. 45th Annu. IEEE Sympos. Found. Comput. Sci., page to appear, 2004.
-
(2004)
Proc. 45th Annu. IEEE Sympos. Found. Comput. Sci.
-
-
Kumar, A.1
Sabharwal, Y.2
Sen, S.3
-
12
-
-
0001457509
-
Some methods for classifications and analysis of multivariate observations
-
Unversity of California Press, Berkeley
-
J. MacQueen. Some methods for classifications and analysis of multivariate observations. In Proc. fifth Berkeley symp. math. stat. and prob., pages 281-297. Unversity of California Press, Berkeley, 1967.
-
(1967)
Proc. Fifth Berkeley Symp. Math. Stat. and Prob.
, pp. 281-297
-
-
MacQueen, J.1
-
13
-
-
0034417244
-
On approximate geometric k-clustering
-
J. Matoušek. On approximate geometric k-clustering Discrete Comput. Geom., 24:61-84, 2000.
-
(2000)
Discrete Comput. Geom.
, vol.24
, pp. 61-84
-
-
Matoušek, J.1
-
15
-
-
0000963889
-
Strong consistency of k-means clustering
-
D. Pollard. Strong consistency of k-means clustering. Annals of Statistics, 9:135-140, 1981.
-
(1981)
Annals of Statistics
, vol.9
, pp. 135-140
-
-
Pollard, D.1
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