Analysis distances for similarity estimation by fuzzy C-mean algorithm

Proceedings of the 2009 International Conference on Machine Learning and Cybernetics

Volumn 1, Issue , 2009, Pages 582-587

  Li, Zhong ^a   Yuan, Jinsha ^a   Yang, Hong ^a  

^a NORTH CHINA ELECTRIC POWER UNIVERSITY   (China)

Author keywords

Distance; FCM; Shape similarity; Similarity estimation

Indexed keywords

DISTANCE; DISTANCE MEASURE; EUCLIDEAN DISTANCE; FCM; FCM CLUSTERING; FEATURE SPACE; FUZZY C-MEAN ALGORITHM; HUMAN KNOWLEDGE; HUMAN PERCEPTION; MANHATTAN DISTANCE; MULTIDIMENSIONAL VECTORS; SHAPE SIMILARITY; SIMILARITY DISTANCE; SIMILARITY ESTIMATION; SIMILARITY MEASUREMENTS; STATISTICAL ANALYSIS;

CLUSTERING ALGORITHMS; CONTROL THEORY; CYBERNETICS; FACE RECOGNITION; FUZZY RULES; FUZZY SYSTEMS; KNOWLEDGE REPRESENTATION; ROBOT LEARNING;

ESTIMATION;

EID: 70350726820     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLC.2009.5212575     Document Type: Conference Paper

References (6)

1. A. Tversky, "Features of similarity", Psychological Review, Vol 84, No. 4, pp. 327-352, 1977.
2. Zhong Li, Jinsha Yuan, Hong Yang and Ke Zhang, "K-mean Algorithm with a Distance Based on the Characteristic of Differences", WiCOM 2008, Dalian, China, Oct. 2008.
3. Zhong Li, Jinsha Yuan and Ke Zhang, "An Estimation Similarity Distance based on the Characteristic of Vector Difference", the 2009 International Joint Conference on Neural Networks, Atlanta, U.S.A., June 2009. (Accepted)
4. A.K. Jain and R.C. Dubes, Algorithms for Clustering, Englewood Cliffs, N.J.: Prentice Hall, 1988.
5. N. Sebe, M. S. Lew, and D. P. Huijsmans, "Toward improved ranking metrics", IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 22, No. 10, pp. 1132-1143, Oct. 2000.
6. J. C. Bezdek, Pattern Recognition with Fuzzy Objective Function Algorithms, Plenum, NY. 1981.