Unsupervised and supervised data classification via nonsmooth and global optimization

Author:

Bagirov A. M.,Rubinov A. M.,Soukhoroukova N. V.,Yearwood J.

Publisher

Springer Science and Business Media LLC

Subject

Discrete Mathematics and Combinatorics,Statistics and Probability,Management Science and Operations Research,Information Systems and Management,Modeling and Simulation

Reference82 articles.

1. Aarts E. and Korst J. (1989).Simulated Annealing and Boltzmann Machines: A Stochastic Approach to Combinatorial Optimization and Neural Computing. Wiley Interscience Series in Discrete Mathematics and Optimization. John Wiley.

2. Al-Sultan K.S. (1995). A tabu search approach to the clustering problem.Pattern Recognition 28, 1443–1451.

3. Al-Sultan K.S. and Khan M.M. (1996). Computational experience on four algorthms for the hard clustering problem.Pattern Recognition Letters 17, 295–308.

4. Anderberg M.R. (1973).Cluster Analysis for Applications. Academic Press.

5. Andramonov M.Yu, Rubinov A.M. and Glover B.M. (1999). Cutting angle method in global optimization.Applied Mathematics Letters 12, 95–100.

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