-
1
-
-
0003585297
-
Data Mining: Concepts and Techniques
-
1. J. Han M. Kamber 2001 Data Mining: Concepts and Techniques Acad. Press San Diego J. Han and M. Kamber, Data Mining: Concepts and Techniques, Acad. Press, San Diego (2001).
-
(2001)
-
-
Han, J.1
Kamber, M.2
-
2
-
-
0003622623
-
Fuzzy Sets and Their Application to Clustering and Training
-
2. D. Dumitrescu B. Lazzerini L. C. Jain 2000 Fuzzy Sets and Their Application to Clustering and Training CRC Press LLC New York D. Dumitrescu, B. Lazzerini, and L. C. Jain, Fuzzy Sets and Their Application to Clustering and Training, CRC Press LLC, New York (2000).
-
(2000)
-
-
Dumitrescu, D.1
Lazzerini, B.2
Jain, L.C.3
-
3
-
-
0036407847
-
Identification of states of complex systems with estimation of admissible measurement errors on the basis of fuzzy information
-
3. E. N. Nasibov 2002 Identification of states of complex systems with estimation of admissible measurement errors on the basis of fuzzy information Cybernetics and Systems Analysis 38 1 63 71 10.1023/A:1015540015031 1930434 E. N. Nasibov, “Identification of states of complex systems with estimation of admissible measurement errors on the basis of fuzzy information,” Cybernetics and Systems Analysis, 38, No. 1, 63–71 (2002).
-
(2002)
Cybernetics and Systems Analysis
, vol.38
, Issue.1
, pp. 63-71
-
-
Nasibov, E.N.1
-
4
-
-
0036424846
-
A problem of identification of states of a system from fuzzy values of informational features
-
4. E. N. Nasibov 2002 A problem of identification of states of a system from fuzzy values of informational features Avtomat. Vychisl. Tekhn. 36 2 33 40 211142 E. N. Nasibov, “A problem of identification of states of a system from fuzzy values of informational features,” Avtomat. Vychisl. Tekhn., 36, No. 2, 33–40 (2002).
-
(2002)
Avtomat. Vychisl. Tekhn.
, vol.36
, Issue.2
, pp. 33-40
-
-
Nasibov, E.N.1
-
5
-
-
85121085412
-
-
5. E. N. Nasibov and G. Ulutagay, “Program tools for fuzzy clustering analysis,” in: Proc. Intern. Scientific Conf. “Inform. Tech. and Telecomm. in Educ. and Science,” Antalya, Turkey (2006), pp. 195–197.
-
-
-
-
6
-
-
27744601646
-
A new approach to the problem of clustering using the fuzzy joint points method
-
6. E. N. Nasibov G. Ulutagay 2005 A new approach to the problem of clustering using the fuzzy joint points method Avtomat. Vychisl. Tekhn. 39 6 11 21 E. N. Nasibov and G. Ulutagay, “A new approach to the problem of clustering using the fuzzy joint points method,” Avtomat. Vychisl. Tekhn., 39, No. 6, 11–21 (2005).
-
(2005)
Avtomat. Vychisl. Tekhn.
, vol.39
, Issue.6
, pp. 11-21
-
-
Nasibov, E.N.1
Ulutagay, G.2
-
7
-
-
0029360028
-
On cluster validity for the fuzzy C-means model
-
7. N. R. Pal J. C. Bezdek 1995 On cluster validity for the fuzzy C-means model IEEE Trans. on Fuzzy Systems 3 3 370 379 10.1109/91.413225 N. R. Pal and J. C. Bezdek, “On cluster validity for the fuzzy C-means model,” IEEE Trans. on Fuzzy Systems, 3, No. 3, 370–379 (1995).
-
(1995)
IEEE Trans. on Fuzzy Systems
, vol.3
, Issue.3
, pp. 370-379
-
-
Pal, N.R.1
Bezdek, J.C.2
-
8
-
-
0035897962
-
Fuzzy clustering based on K-nearest-neighbours rule
-
8. N. Zahid O. Abouelala M. Limouri A. Essaid 2001 Fuzzy clustering based on K-nearest-neighbours rule Fuzzy Sets and Systems 120 239 247 0981.62057 10.1016/S0165-0114(99)00074-3 1854153 N. Zahid, O. Abouelala, M. Limouri, and A. Essaid, “Fuzzy clustering based on K-nearest-neighbours rule,” Fuzzy Sets and Systems, 120, 239–247 (2001).
-
(2001)
Fuzzy Sets and Systems
, vol.120
, pp. 239-247
-
-
Zahid, N.1
Abouelala, O.2
Limouri, M.3
Essaid, A.4
-
9
-
-
0031192645
-
An investigation of mountain method clustering for large data sets
-
9. R. P. Velthuizen L. O. Hall L. P. Clarke M. L. Silbiger 1997 An investigation of mountain method clustering for large data sets Pattern Recognition 30 7 1121 1135 10.1016/S0031-3203(96)00133-1 R. P. Velthuizen, L. O. Hall, L. P. Clarke, and M. L. Silbiger, “An investigation of mountain method clustering for large data sets,” Pattern Recognition, 30, No. 7, 1121–1135 (1997).
-
(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
-
10
-
-
0028482884
-
Approximate clustering via the mountain method
-
10. R. R. Yager D. P. Filev 1994 Approximate clustering via the mountain method IEEE Trans. on Systems, Man, and Cybernetics 24 8 1279 1284 10.1109/21.299710 R. R. Yager and D. P. Filev, “Approximate clustering via the mountain method,” IEEE Trans. on Systems, Man, and Cybernetics, 24, No. 8, 1279–1284 (1994).
-
(1994)
IEEE Trans. on Systems, Man, and Cybernetics
, vol.24
, Issue.8
, pp. 1279-1284
-
-
Yager, R.R.1
Filev, D.P.2
-
11
-
-
0015644825
-
A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
-
11. J. C. Dunn 1973 A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters Cybernetics 3 3 32 57 0291.68033 375857 J. C. Dunn, “A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters,” Cybernetics, 3, No. 3, 32–57 (1973).
-
(1973)
Cybernetics
, vol.3
, Issue.3
, pp. 32-57
-
-
Dunn, J.C.1
-
12
-
-
0032628736
-
On distance measures for the fuzzy K-means algorithm for joint data
-
12. R. E. Hammah J. H. Curran 1999 On distance measures for the fuzzy K-means algorithm for joint data Rock Mech. Rock Eng. 32 1 1 27 10.1007/s006030050041 R. E. Hammah and J. H. Curran, “On distance measures for the fuzzy K-means algorithm for joint data,” Rock Mech. Rock Eng., 32, No 1, 1–27 (1999).
-
(1999)
Rock Mech. Rock Eng.
, vol.32
, Issue.1
, pp. 1-27
-
-
Hammah, R.E.1
Curran, J.H.2
-
13
-
-
0037118554
-
Unsupervised fuzzy clustering with multi-center clusters
-
13. C. W. Tao 2002 Unsupervised fuzzy clustering with multi-center clusters Fuzzy Sets and Systems 128 305 322 0999.62046 10.1016/S0165-0114(01)00191-9 1908603 C. W. Tao, “Unsupervised fuzzy clustering with multi-center clusters,” Fuzzy Sets and Systems, 128, 305–322 (2002).
-
(2002)
Fuzzy Sets and Systems
, vol.128
, pp. 305-322
-
-
Tao, C.W.1
-
14
-
-
0030149087
-
Validity-Guided (Re)clustering with applications to image segmentation
-
14. A. M. Bensaid L. O. Hall J. C. Bezdek 1996 Validity-Guided (Re)clustering with applications to image segmentation IEEE Trans. on Fuzzy Systems 4 2 112 123 10.1109/91.493905 A. M. Bensaid, L. O. Hall, J. C. Bezdek, et al., “Validity-Guided (Re)clustering with applications to image segmentation,” IEEE Trans. on Fuzzy Systems, 4, No. 2, 112–123 (1996).
-
(1996)
IEEE Trans. on Fuzzy Systems
, vol.4
, Issue.2
, pp. 112-123
-
-
Bensaid, A.M.1
Hall, L.O.2
Bezdek, J.C.3
|