Reducing the time complexity of the fuzzy c-means algorithm

IEEE Transactions on Fuzzy Systems

Volumn 10, Issue 2, 2002, Pages 263-267

  Kolen, John F ^a   Hutcheson, Tim ^a  

^a INSTITUTE FOR HUMAN AND MACHINE COGNITION   (United States)

Author keywords

Clustering methods; Complexity theory; Fuzzy c means algorithm

Indexed keywords

ALGORITHMS; DATA REDUCTION; DATA STRUCTURES; IMAGE PROCESSING; PATTERN RECOGNITION;

CLUSTERING METHODS; COMPLEXITY THEORY;

FUZZY SETS;

EID: 0036531325     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/91.995126     Document Type: Article

References (10)

1. Comples reduction for large image processing
2. Efficient implementation of the fuzzy c-means clustering algorithm
3. Fast clustering with application to fuzzy rule generation
4. New algorithm for solving the fuzzy clustering problem
5. Optimization of clustering criteria by reformulation