-
1
-
-
36948999941
-
-
Irvine, CA: University of California, School of Information and Computer Science. Available at, [last accessed on 2 May 2009]
-
Asuncion, A. and Newman, D.J., 2007. UCI Machine Learning Repository. Irvine, CA: University of California, School of Information and Computer Science. Available at: http://www.ics.uci.edu/~mlearn/MLRepository.html [last accessed on 2 May 2009]
-
(2007)
UCI Machine Learning Repository
-
-
Asuncion, A.1
Newman, D.J.2
-
2
-
-
0039253819
-
LOF: Identifying density-based local outliers
-
Breunig, M.M. et al, 2000. LOF: identifying density-based local outliers. ACM SIGMOD Record, Vol.29, No.2, 93-104.
-
(2000)
ACM SIGMOD Record
, vol.29
, Issue.2
, pp. 93-104
-
-
Breunig, M.M.1
-
3
-
-
0000550189
-
A density-based algorithm for discovering clusters in large spatial datasets with noise
-
Portland, Oregon
-
Ester, M. et al, 1996. A Density-Based Algorithm for Discovering Clusters in Large Spatial Datasets with Noise. Proceedings of 2nd International Conference on KDDD, Portland, Oregon, pp 1232-1239.
-
(1996)
Proceedings of 2nd International Conference on KDDD
, pp. 1232-1239
-
-
Ester, M.1
-
4
-
-
0032091595
-
CURE: An efficient clustering algorithm for large databases
-
Guha, S. et al, 1998. CURE: An efficient clustering algorithm for large databases. Proceedings of the ACM SIGMOD Conference, Seattle, WA, pp 73-84. (Pubitemid 128655958)
-
(1998)
SIGMOD Record
, vol.27
, Issue.2
, pp. 73-84
-
-
Guha, S.1
Rastogi, R.2
Shim, K.3
-
5
-
-
84872271533
-
-
Ph.D. New Brunswick, New Jersey: Rutgers University
-
Iyigun, C., 2008. Probabilistic Distance Clustering. Ph.D. New Brunswick, New Jersey: Rutgers University.
-
(2008)
Probabilistic Distance Clustering
-
-
Iyigun, C.1
-
6
-
-
84893405732
-
Data clustering: A review.
-
Jain, A.K. et al., 1999. Data Clustering: A Review. ACM Computing Surveys, Vol. 31, No.3, pp 264-323.
-
(1999)
ACM Computing Surveys
, vol.31
, Issue.3
, pp. 264-323
-
-
Jain, A.K.1
-
7
-
-
0032686723
-
CHAMELEON: A hierarchical clustering algorithm using dynamic modeling.
-
Karypis, G. et al, 1999. CHAMELEON: A hierarchical clustering algorithm using dynamic modeling. COMPUTER, Vol. 32, pp 68-75.
-
(1999)
Computer
, vol.32
, pp. 68-75
-
-
Karypis, G.1
-
8
-
-
43249120533
-
Effective clustering and boundary detection algorithm based on Delaunay triangulation
-
Liu, D. et al., 2008. Effective clustering and boundary detection algorithm based on Delaunay triangulation. Pattern Recognition Letters, Vol. 29, No. 9, pp 1261-1273.
-
(2008)
Pattern Recognition Letters
, vol.29
, Issue.9
, pp. 1261-1273
-
-
Liu, D.1
-
9
-
-
84908452609
-
-
Available at, [last accessed on 2 May 2009]
-
Sourina, O., 2008. Spatial Data Clustering with Boundary Detection. Available at: http://www3.ntu.edu.sg/home/eosourina/ Copy%20of%20ProfessionalService.htm [last accessed on 2 May 2009]
-
(2008)
Spatial Data Clustering with Boundary Detection.
-
-
Sourina, O.1
-
10
-
-
77957935779
-
A novel validity measure for clusters of arbitrary shapes and densities
-
Tampa, USA
-
Yousri, N.A. et al, 2008. A Novel Validity Measure for Clusters of Arbitrary Shapes and Densities. International Conference of Pattern Recognition, Tampa, USA.
-
(2008)
International Conference of Pattern Recognition
-
-
Yousri, N.A.1
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