New Optimization Algorithms in Physics
New Optimization Algorithms in Physics
Algorithms for clustering high dimensional and distributed data
Intelligent Data Analysis
Survey of clustering algorithms
IEEE Transactions on Neural Networks
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Previously it was found that when minimizing a quadratic functional depending on a great number of binary variables, it is reasonable to use aggregated variables, joining together independent binary variables in blocks (domains). Then one succeeds in finding deeper local minima of the functional. In the present publication we investigate an algorithm of the domains formation based on the clustering of the connection matrix.