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A Novel Pattern Clustering Algorithm Based on Particle Swarm Optimization Joint Adaptive Wavelet Neural Network Model

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Abstract

Cluster analysis as an important function of the data mining has made great progress in recent years a series of methods for analysis of accuracy provides a solid foundation. This paper proposes the novel pattern clustering algorithm based on particle swarm optimization joint adaptive wavelet neural network model. Nonlinear adaptive filter has the stronger ability of that signal processing. However, due to complicated calculation of the nonlinear adaptive filter, the actual use of linear adaptive filter is still. To deal with this challenge, we integrate the wavelet neural network for modification. Usually, the wavelet neural network learning process using the gradient descent method, even if the error function that along the negative gradient direction, and which requires the step length direction along the negative gradient direction. As well, we revise the PSO to enhance the wavelet NN in the process of search, the equilibrium relation between the global search ability and local search ability for the success of the algorithm plays an important role. With this modification, our method obtains the better performance. The experimental result shows the feasibility and the effectiveness of the method compared with the other latest and state-of-the-art methods.

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Acknowledgements

The work is partially supported by the National Natural Science Foundation of China (No.61375121), the Research Funds of Natural Scientific and Teaching Reform and Top-notch Academic Programs for Jiangsu Higher Education Institutions (Nos.14KJD520003, 2015JSJG163, PPZY2015B140), the Scientific Research Foundation of Jinling Institute of Technology (No.jit-rcyj-201505), and sponsored by the Funds for Nanjing Creative Team of Swarm Computing & Smart Software.

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Authors and Affiliations

  1. Jiangsu Key Laboratory of Data Science and Smart Software, Jinling Institute of Technology, Nanjing, 211169, China

    Shoubao Su, Haifeng Guo, Haimei Tian & Gang Wu

  2. School of Computers and Information, Hohai University, Nanjing, 210098, China

    Haifeng Guo & Haimei Tian

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  1. Shoubao Su
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  2. Haifeng Guo
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  4. Gang Wu
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Correspondence to Shoubao Su.

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Su, S., Guo, H., Tian, H. et al. A Novel Pattern Clustering Algorithm Based on Particle Swarm Optimization Joint Adaptive Wavelet Neural Network Model. Mobile Netw Appl 22, 692–701 (2017). https://doi.org/10.1007/s11036-017-0847-4

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