-
1
-
-
0032090765
-
Automatic subspace clustering of high dimensional data for data mining applications
-
R. Agrawal, J. Gehrke, D. Gunopulos, and P. Raghavan. Automatic subspace clustering of high dimensional data for data mining applications. In Proc. 1998 ACM-SIGMOD Int. Conf. Management of Data (SIGMOD'98), pages 94-105, 1998.
-
(1998)
Proc. 1998 ACM-SIGMOD Int. Conf. Management of Data (SIGMOD'98)
, pp. 94-105
-
-
Agrawal, R.1
Gehrke, J.2
Gunopulos, D.3
Raghavan, P.4
-
2
-
-
85170282443
-
A density-based algorithm for discovering clusters in large spatial databases with noise
-
M. Ester, H.-P. Kriegel, J. Sander, and X. Xu. A density-based algorithm for discovering clusters in large spatial databases with noise. In Proc. 1996 Int. Conf. Knowledge Discovery and Data Mining (KDD'96), pages 226-231, 1996.
-
(1996)
Proc. 1996 Int. Conf. Knowledge Discovery and Data Mining (KDD'96)
, pp. 226-231
-
-
Ester, M.1
Kriegel, H.-P.2
Sander, J.3
Xu, X.4
-
3
-
-
23144457786
-
A non-parametric approach to web log analysis
-
Chicago, IL, USA, April
-
A. Foss, W. Wang, and O. R. Zaïane. A non-parametric approach to web log analysis. In Web Mining Workshop in conjunction with the SIAM International Conference on Data Mining, pages 41-50, Chicago, IL, USA, April 2001.
-
(2001)
Web Mining Workshop in Conjunction with the SIAM International Conference on Data Mining
, pp. 41-50
-
-
Foss, A.1
Wang, W.2
Zaïane, O.R.3
-
7
-
-
0032686723
-
CHAMELEON: A hierarchical clustering algorithm using dynamic modeling
-
August
-
G. Karypis, E.-H. Han. and V. Kumar. CHAMELEON: A hierarchical clustering algorithm using dynamic modeling. IEEE Computer, 32(8):68-75, August 1999.
-
(1999)
IEEE Computer
, vol.32
, Issue.8
, pp. 68-75
-
-
Karypis, G.1
Han, E.-H.2
Kumar, V.3
-
9
-
-
0347172110
-
OPTICS: Ordering points to identify the clustering structure
-
M.Ankerst, M.Breunig, H.-P. Kriegel, and J.Sander. OPTICS: Ordering points to identify the clustering structure. In Proc. 1999 ACM-SIGMOD Conf. on Management of Data (SIGMOD'99), pages 49-60, 1999.
-
(1999)
Proc. 1999 ACM-SIGMOD Conf. on Management of Data (SIGMOD'99)
, pp. 49-60
-
-
Ankerst, M.1
Breunig, M.2
Kriegel, H.-P.3
Sander, J.4
-
11
-
-
0032091595
-
CURE: An efficient clustering algorithm for large databases
-
Seattle, Washington
-
K. S. S. Guha, R. Rastogi. CURE: An efficient clustering algorithm for large databases. In SIGMOD'98, Seattle, Washington, 1998.
-
(1998)
SIGMOD'98
-
-
Guha, K.S.S.1
Rastogi, R.2
-
12
-
-
0003052357
-
Wavecluster: A multi-resolution clustering approach for very large spatial databases
-
G. Sheikholeslami, S. Chatterjee, and A. Zhang. Wavecluster: a multi-resolution clustering approach for very large spatial databases. In 24th VLDB Conference, New York, USA, 1998.
-
24th VLDB Conference, New York, USA, 1998
-
-
Sheikholeslami, G.1
Chatterjee, S.2
Zhang, A.3
-
13
-
-
0034133653
-
A wavelet-based clustering approach for spatial data in very large databases
-
February
-
G. Sheikholeslami, S. Chatterjee, and A. Zhang. A wavelet-based clustering approach for spatial data in very large databases. The International Journal on Very Large Databases, 8(4):289-304, February 2000.
-
(2000)
The International Journal on Very Large Databases
, vol.8
, Issue.4
, pp. 289-304
-
-
Sheikholeslami, G.1
Chatterjee, S.2
Zhang, A.3
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