Switching regression models using ambiguity and distance rejects: Application to ionogram analysis

Proceedings - International Conference on Pattern Recognition

Volumn 15, Issue 2, 2000, Pages 688-691

  Ménard, Michel ^a   Dardignac, Pierre André ^a   Courboulay, Vincent ^a  

^a UNIVERSITÉ DE LA ROCHELLE   (France)

Author keywords

[No Author keywords available]

Indexed keywords

CALCULATIONS; MEMBERSHIP FUNCTIONS; PATTERN RECOGNITION;

FUZZY C-REGRESSION MODELS; M-ALGORITHMS; OBJECTIVE FUNCTIONS; OPTIMIZATION METHOD; REGRESSION ALGORITHMS; REGRESSION MODEL; SWITCHING REGRESSIONS; TRAINING DATA;

REGRESSION ANALYSIS;

EID: 34147179107     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (5)

1. C.Demko, M.Menard, and P.Loonis. The fuzzy c+1-means: introduction of reject in clustering. In IEEE Transactions on Pattern Analysis and Machine Intelligence. Under review.
2. Yizong Cheng. Mean shift, mode seeking and clustering. PAMI, August, Vol.17, No.8, 1995.
3. R.J. Hathaway and Bezdek J.C. Switching regression models and fuzzy clustering. In IEEE Transactions on fuzzy systems, Vol.1, No.3, pages 195-203, 1993.
4. M Menard, C Demko, and P Loonis. The fuzzy c+2-means: Solving the ambiguity reject in clustering. Pattern recognition. To be published.
5. J.W. Tukey. Explortary data analysis. Reading, MA : Addison-Wesley, 1977.