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- W1915743944 abstract "This paper proposes an improved model of chaotic neural network used to cluster high-dimensional datasets with cross sections in the feature space. A thorough study was designed to elucidate the possible behavior of hundreds interacting chaotic oscillators. New synchronization type - fragmentary synchronization within cluster elements dynamics was found. The paper describes a method for detecting fragmentary synchronization and it's advantages when applied to data mining problem." @default.
- W1915743944 created "2016-06-24" @default.
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- W1915743944 date "2009-01-01" @default.
- W1915743944 modified "2023-10-17" @default.
- W1915743944 title "Fragmentary Synchronization in Chaotic Neural Network and Data Mining" @default.
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- W1915743944 doi "https://doi.org/10.1007/978-3-642-02319-4_38" @default.
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