Fuzzy c-means: Optimality of solutions and effective termination of the algorithm

Pattern Recognition

Volumn 19, Issue 6, 1986, Pages 481-485

  Ismail, M A ^a   Selim, Shokri Z ^b  

^a UNIVERSITY OF WINDSOR   (Canada)

^b KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

Author keywords

Fuzzy c means algorithm; Fuzzy clustering algorithms; Fuzzy isodata algorithm; Fuzzy unsupervised classification; Local optimality

Indexed keywords

FUZZY C-MEANS ALGORITHM; FUZZY CLUSTERING ALGORITHMS; FUZZY ISODATA ALGORITHM; FUZZY UNSUPERVISED CLASSIFICATION; LOCAL OPTIMALITY;

MATHEMATICAL TECHNIQUES;

FUZZY CLUSTERING ALGORITHMS; LOCAL OPTIMALITY; UNSUPERVISED CLASSIFICATION;

EID: 0022927456     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/0031-3203(86)90048-8     Document Type: Article

References (7)

1. A fuzzy relative of the ISODATA process and its use in detecting compact well-separated clusters
2. fuzzy mathematics in pattern classification
3. An improved convergence theory for the fuzzy c-means clustering algorithm
4. On the local optimality of the fuzzy ISODATA clustering algorithm
5. K-means-type algorithms: a generalized convergence theory and characterization of local optimality