SCOPUS 정보 검색 플랫폼

Volumn 11, Issue 3, 2008, Pages 191-196

Fuzzy clustering validity for spatial data

b NONE

Author keywords

Fuzzy clustering; Spatial data; Uncertainty; Validity

Indexed keywords

FUZZY CLUSTERING;

CLASSIFICATION RESULTS; CLUSTERED STRUCTURE; CLUSTERING VALIDITY; DETECTION METHODS; SPATIAL DATA; UNCERTAINTY; VALIDITY; VALIDITY FUNCTIONS;

CLUSTERING ALGORITHMS;

ALGORITHM; CLUSTER ANALYSIS; DATA SET; FUZZY MATHEMATICS; SPATIAL DATA; UNCERTAINTY ANALYSIS;

EID: 55049119617 PISSN: 10095020 EISSN: None Source Type: Journal
DOI: 10.1007/s11806-008-0094-8 Document Type: Article

Times cited : (19)

References (10)

1
- 0018918224
- A convergence theorem for the fuzzy ISODATA clustering algorithm[J]
- Bezdek J C (1980) A convergence theorem for the fuzzy ISODATA clustering algorithm[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1(2): 1-8
- (1980) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.1 , Issue.2 , pp. 1-8
- Bezdek, J.C.¹

2
- 0004008854
- New York: Plenum Press
- Bezdek J C (1981) Pattern recognition with fuzzy objective function algorithms[M]. New York: Plenum Press
- (1981) Pattern recognition with fuzzy objective function algorithms[M]
- Bezdek, J.C.¹

3
- 0026204245
- A validity measure for fuzzy clustering[J]
- Xie X L, Beni G (1991) A validity measure for fuzzy clustering[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 13(8): 841-847
- (1991) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.13 , Issue.8 , pp. 841-847
- Xie, X.L.¹ Beni, G.²

4
- 0001404416
- A new method of choosing the number of clusters for the fuzzy c-means method[C]
- Fukuyama Y, Sugeno M (1989) A new method of choosing the number of clusters for the fuzzy c-means method[C]. Proceedings of the Fifth Systems Symposium, Japanese
- (1989) Proceedings of the Fifth Systems Symposium, Japanese
- Fukuyama, Y.¹ Sugeno, M.²

5
- 0042377400
- Fuzzy cluster validation index based on inter-cluster proximity[J]
- Kim D-W, Lee K H, Lee D (2003) Fuzzy cluster validation index based on inter-cluster proximity[J]. Pattern Recognition Letters, 24(1515): 2 561-2 574
- (2003) Pattern Recognition Letters , vol.24 , Issue.1515
- Kim, D.-W.¹ Lee, K.H.² Lee, D.³

6
- 0003884929
- FCM:Fuzzy c-means algorithm[J]
- Bezdeck J C, Ehrlich R, Full W (1984) FCM:Fuzzy c-means algorithm[J]. Computers and Geoscience, 23:16-20
- (1984) Computers and Geoscience , vol.23 , pp. 16-20
- Bezdeck, J.C.¹ Ehrlich, R.² Full, W.³

7
- 0030141444
- Validating fuzzy partitions obtained through c-shells clustering[J]
- Dave R N (1996) Validating fuzzy partitions obtained through c-shells clustering[J]. Pattern Recognition Letters, 17(6): 613-623
- (1996) Pattern Recognition Letters , vol.17 , Issue.6 , pp. 613-623
- Dave, R.N.¹

8
- 26944465055
- London, Hong Kong: Springer-Verlag
- Vazirgiannis M, Halkidi M, Gunopulos D (2003) Uncertainty handling and quality assessment in data mining[M]. London, Hong Kong: Springer-Verlag
- (2003) Uncertainty handling and quality assessment in data mining[M]
- Vazirgiannis, M.¹ Halkidi, M.² Gunopulos, D.³

9
- 0029360028
- On cluster validity for the fuzzy c-means model[J]
- Pal N R, Bezdek J C (1995) On cluster validity for the fuzzy c-means model[J]. IEEE Transactions on Fuzzy Systems, 3(3): 370-379
- (1995) IEEE Transactions on Fuzzy Systems , vol.3 , Issue.3 , pp. 370-379
- Pal, N.R.¹ Bezdek, J.C.²

10
- 55049089854
- Great Basin Center
- Great Basin Center(2007) Nevada-Utah mines and prospects[OL]. http:// www.unr.edu/Geothermal/GIS_download3.htm#RRvalNevada_Faults
- (2007) Nevada-Utah mines and prospects[OL]

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