A simulated annealing algorithm for the clustering problem

Pattern Recognition

Volumn 24, Issue 10, 1991, Pages 1003-1008

  Selim, Shokri Z ^a   Alsultan, K ^a  

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

Author keywords

Fuzzy cluster analysis; Global algorithms; Simulated annealing

Indexed keywords

ANNEALING ALGORITHM; CLUSTERING; FUZZY CLUSTER; GLOBAL ALGORITHM;

COMPUTER SIMULATION; MATHEMATICAL STATISTICS; MATHEMATICAL TECHNIQUES; THERMODYNAMICS;

CLUSTERING PROBLEM; K-MEANS ALGORITHM; SIMULATED ANNEALING;

COMPUTER PROGRAMMING;

EID: 0026359031     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/0031-3203(91)90097-O     Document Type: Article

References (9)

1. Using nonconvex programming techniques in cluster analysis
2. K-Means-type algorithms: generalized convergence theorem and characterization of local optimality
3. Experiments in projection and clustering by simulated annealing
4. Equations of state calculations by fast computing machines
5. Optimization by simulated annealing
6. Thermodynamical approach to the travelling salesman problem an efficient simulation algorithm