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SYNC-SOM: clustering method based on modified Kuramoto model and self-organized feature map


A.V. Novikov – Post-graduate Student, Department of Computer Systems and Software Technologies, St.-Petersburg State Polytechnical University. E-mail: E.N. Benderskaya – Ph.D.(Eng.), Associate Professor, Department of Computer Systems and Software Technologies, St.-Petersburg State Polytechnical University. E-mail:

The oscillatory network Sync that uses the phase oscillator Kuramoto is able to solve problems of cluster analysis using processes of synchronization when one synchronous ensemble of oscillator corresponds to only one cluster. The convergence rate of process of synchronization depends on number of oscillators and radius connectivity. This paper presents study results of synchronization processes in oscillatory networks that based on the Kuramoto model and proposed double layer oscillatory network for cluster analysis that resolves described two problems. The oscillatory network SYNC-SOM provides accurate solution of the clustering problems than traditional algorithms. The network is relevant for problems where accurate and fast solution is required. Also presented experimental results of comparison between various algorithms and advantages of the proposed algorithm.


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