-
1
-
-
0032885005
-
Survey of spatio-temporal databases
-
Abraham T., and Roddick J.F. Survey of spatio-temporal databases. GeoInformatica 3 1 (1999) 61-99
-
(1999)
GeoInformatica
, vol.3
, Issue.1
, pp. 61-99
-
-
Abraham, T.1
Roddick, J.F.2
-
2
-
-
0347172110
-
OPTICS: Ordering points to identify the clustering structure
-
Philadelphia, PA
-
M. Ankerst, M.M. Breunig, H.-P. Kriegel, J. Sander, OPTICS: ordering points to identify the clustering structure, in: Proc. ACM SIGMOD Internat. Conf. on Management of Data, Philadelphia, PA, 1999, pp. 49-60.
-
(1999)
Proc. ACM SIGMOD Internat. Conf. on Management of Data
, pp. 49-60
-
-
Ankerst, M.1
Breunig, M.M.2
Kriegel, H.-P.3
Sander, J.4
-
3
-
-
0034319320
-
Approaches for scaling DBSCAN algorithm to large spatial database
-
Aoying Z., and Shuigeng Z. Approaches for scaling DBSCAN algorithm to large spatial database. Journal of Computer Science and Technology 15 6 (2000) 509-526
-
(2000)
Journal of Computer Science and Technology
, vol.15
, Issue.6
, pp. 509-526
-
-
Aoying, Z.1
Shuigeng, Z.2
-
4
-
-
0030149087
-
Validity-guided (re)clustering with applications to image segmentation
-
Bensaid A.M., Hall L.O., Bezdek J.C., Clarke L.P., Silbiger M.L., Arrington J.A., and Murtagh R.F. Validity-guided (re)clustering with applications to image segmentation. IEEE Transactions on Fuzzy Systems 4 2 (1996) 112-123
-
(1996)
IEEE Transactions on Fuzzy Systems
, vol.4
, Issue.2
, pp. 112-123
-
-
Bensaid, A.M.1
Hall, L.O.2
Bezdek, J.C.3
Clarke, L.P.4
Silbiger, M.L.5
Arrington, J.A.6
Murtagh, R.F.7
-
5
-
-
33846024749
-
ST-DBSCAN: an algorithm for clustering spatial-temporal data
-
Birant D., and Kut A. ST-DBSCAN: an algorithm for clustering spatial-temporal data. Data & Knowledge Engineering 60 (2007) 208-221
-
(2007)
Data & Knowledge Engineering
, vol.60
, pp. 208-221
-
-
Birant, D.1
Kut, A.2
-
6
-
-
33646546673
-
A hierarchical clustering algorithm based on fuzzy graph connectedness
-
Dong Y., Zhuang Y., Chen K., and Tai X. A hierarchical clustering algorithm based on fuzzy graph connectedness. Fuzzy Sets and Systems 157 (2006) 1760-1774
-
(2006)
Fuzzy Sets and Systems
, vol.157
, pp. 1760-1774
-
-
Dong, Y.1
Zhuang, Y.2
Chen, K.3
Tai, X.4
-
7
-
-
34347333289
-
A local-density based spatial clustering algorithm with noise
-
Duan L., Xu L., Guo F., Lee J., and Yan B. A local-density based spatial clustering algorithm with noise. Information Systems 32 (2007) 978-986
-
(2007)
Information Systems
, vol.32
, pp. 978-986
-
-
Duan, L.1
Xu, L.2
Guo, F.3
Lee, J.4
Yan, B.5
-
8
-
-
0015644825
-
A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
-
Dunn J.C. A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters. Journal of Cybernetics 3 3 (1973) 32-57
-
(1973)
Journal of Cybernetics
, vol.3
, Issue.3
, pp. 32-57
-
-
Dunn, J.C.1
-
9
-
-
85170282443
-
A density-based algorithm for discovering clusters in large spatial databases with noise
-
M. Ester, H.P. Kriegel, J. Sander, X. Xu, A density-based algorithm for discovering clusters in large spatial databases with noise, in: Proc. Second Internat. Conf. on Knowledge Discovery and Data Mining, 1996, pp. 226-231.
-
(1996)
Proc. Second Internat. Conf. on Knowledge Discovery and Data Mining
, pp. 226-231
-
-
Ester, M.1
Kriegel, H.P.2
Sander, J.3
Xu, X.4
-
10
-
-
0032091595
-
CURE: An efficient clustering algorithms for large databases
-
Seattle, WA
-
S. Guha, R. Rastogi, K. Shim, CURE: an efficient clustering algorithms for large databases, in: Proc. ACM SIGMOD Internat. Conf. on Management of Data, Seattle, WA, 1998, pp. 73-84.
-
(1998)
Proc. ACM SIGMOD Internat. Conf. on Management of Data
, pp. 73-84
-
-
Guha, S.1
Rastogi, R.2
Shim, K.3
-
11
-
-
0032628736
-
On distance measures for the fuzzy K-means algorithm for joint data
-
Hammah R.E., and Curran J.H. On distance measures for the fuzzy K-means algorithm for joint data. Rock Mechanics and Rock Engineering 32 1 (1999) 1-27
-
(1999)
Rock Mechanics and Rock Engineering
, vol.32
, Issue.1
, pp. 1-27
-
-
Hammah, R.E.1
Curran, J.H.2
-
12
-
-
0003585297
-
-
Morgan Kaufmann Publishers, San Francisco, CA
-
J. Han, M. Kamber, Data Mining Concepts and Techniques, Morgan Kaufmann Publishers, San Francisco, CA, 2001, pp. 335-391.
-
(2001)
Data Mining Concepts and Techniques
, pp. 335-391
-
-
Han, J.1
Kamber, M.2
-
13
-
-
0010415411
-
Spatial clustering methods in data mining: a survey
-
Miller H., and Han J. (Eds), Taylor & Francis, London
-
Han J., Kamber M., and Tung A.K.H. Spatial clustering methods in data mining: a survey. In: Miller H., and Han J. (Eds). Geographic Data Mining and Knowledge Discovery (2001), Taylor & Francis, London
-
(2001)
Geographic Data Mining and Knowledge Discovery
-
-
Han, J.1
Kamber, M.2
Tung, A.K.H.3
-
14
-
-
7444260335
-
-
H.-P. Kriegel, K. Kailing, A. Pryakin, M., Schubert, Clustering multi-represented objects with noise, PAKDD, 2004, pp. 394-403.
-
(2004)
Clustering multi-represented objects with noise, PAKDD
, pp. 394-403
-
-
Kriegel, H.-P.1
Kailing, K.2
Pryakin, A.3
Schubert, M.4
-
17
-
-
40449116360
-
A robust algorithm for fuzzy clustering problem on the base of fuzzy joint points method
-
Nasibov E.N. A robust algorithm for fuzzy clustering problem on the base of fuzzy joint points method. Cybernetics and Systems Analysis 44 1 (2008)
-
(2008)
Cybernetics and Systems Analysis
, vol.44
, Issue.1
-
-
Nasibov, E.N.1
-
18
-
-
34547477671
-
A new unsupervised approach for fuzzy clustering
-
Nasibov E.N., and Ulutagay G. A new unsupervised approach for fuzzy clustering. Fuzzy Sets and Systems 158 (2007) 2118-2133
-
(2007)
Fuzzy Sets and Systems
, vol.158
, pp. 2118-2133
-
-
Nasibov, E.N.1
Ulutagay, G.2
-
19
-
-
33747058824
-
A new approach to clustering problem using the fuzzy joint points method
-
Nasibov E.N., and Ulutagay G. A new approach to clustering problem using the fuzzy joint points method. Automatic Control and Computer Sciences 39 6 (2005) 8-17
-
(2005)
Automatic Control and Computer Sciences
, vol.39
, Issue.6
, pp. 8-17
-
-
Nasibov, E.N.1
Ulutagay, G.2
-
20
-
-
70449716255
-
On the fuzzy joint points method for fuzzy clustering problem
-
Nasibov E.N., and Ulutagay G. On the fuzzy joint points method for fuzzy clustering problem. Automatic Control and Computer Sciences 40 5 (2006) 33-44
-
(2006)
Automatic Control and Computer Sciences
, vol.40
, Issue.5
, pp. 33-44
-
-
Nasibov, E.N.1
Ulutagay, G.2
-
21
-
-
0029360028
-
On cluster validity for the fuzzy c-means model
-
Pal N.R., and Bezdek J.C. On cluster validity for the fuzzy c-means model. IEEE Transactions on Fuzzy Systems 3 3 (1995) 370-379
-
(1995)
IEEE Transactions on Fuzzy Systems
, vol.3
, Issue.3
, pp. 370-379
-
-
Pal, N.R.1
Bezdek, J.C.2
-
23
-
-
27944493878
-
Classification and clustering of information objects based on fuzzy neighborhood system
-
Man and Cybernetics, Hawaii
-
M. Sadaaki, Y. Endo, S. Hayakawa, E. Kataoka, Classification and clustering of information objects based on fuzzy neighborhood system, in: IEEE Internat. Conf. on Systems, Man and Cybernetics, Hawaii, 2005, pp. 3210-3215.
-
(2005)
IEEE Internat. Conf. on Systems
, pp. 3210-3215
-
-
Sadaaki, M.1
Endo, Y.2
Hayakawa, S.3
Kataoka, E.4
-
25
-
-
22044455069
-
Density-based clustering in spatial databases: the algorithm GDBSCAN and its applications
-
Sander J., Ester M., Kriegel H.P., and Xu X. Density-based clustering in spatial databases: the algorithm GDBSCAN and its applications. Data Mining and Knowledge Discovery 2 (1998) 169-194
-
(1998)
Data Mining and Knowledge Discovery
, vol.2
, pp. 169-194
-
-
Sander, J.1
Ester, M.2
Kriegel, H.P.3
Xu, X.4
-
26
-
-
0031192645
-
An investigation of mountain method clustering for large data sets
-
Velthuizen R.P., Hall L.O., Clarke L.P., and Silbiger M.L. An investigation of mountain method clustering for large data sets. Pattern Recognition 30 7 (1997) 1121-1135
-
(1997)
Pattern Recognition
, vol.30
, Issue.7
, pp. 1121-1135
-
-
Velthuizen, R.P.1
Hall, L.O.2
Clarke, L.P.3
Silbiger, M.L.4
|