Clustering with repulsive prototypes

Studies in Classification, Data Analysis, and Knowledge Organization

Volumn , Issue , 2010, Pages 207-215

  Winkler, Roland ^a   Rehm, Frank ^b   Kruse, Rudolf ^b  

^a GERMAN AEROSPACE CENTER DLR   (Germany)

^b NONE

Author keywords

Air traffic management; Fuzzy c Means; Noise clustering; Repulsive prototypes

Indexed keywords

AIR TRAFFIC MANAGEMENT; FUZZY C MEAN; FUZZY C-MEANS ALGORITHMS; ITS APPLICATIONS; MEMBERSHIP VALUES; NOISE CLUSTERING; REPULSIVE PROTOTYPES; SPHERICAL CLUSTERS;

COPYING; FUZZY CLUSTERING; SOFT COMPUTING;

CLUSTERING ALGORITHMS;

EID: 84867657328     PISSN: 14318814     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-642-01044-6-19     Document Type: Conference Paper

References (4)

1. Bezdek, J. C. (1981). Pattern recognition with fuzzy objective function algorithms. New York: Plenum.
2. Dave, R. N., & Krishnapuram, R. (1997). Robust clustering methods: a unified view. IEEE Transactions on Fuzzy Systems, 5, 270-293.
3. Gath I., & Geva, A. B. (1989). Unsupervised optimal fuzzy clustering. IEEE Transactions on Pattern Analysis and Machine Intelligence, 11, 773-781.
4. Gustafson, D. E., & Kessel, W. C. (1979). Fuzzy clustering with a fuzzy covariance matrix. In Proceedings of the IEEE Conference on Decision and Control, San Diego, 761-766.