Self-organizing Network

版本 1.0.2.1 (51.0 KB) 作者: Hui Yang

This toolbox includes codes and the example of Self-organizing network for variable clustering.

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更新时间 2024/9/14

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This toolbox includes codes and the example of Self-organizing variable clustering. Each variable is represented as a node in the complex network. Nonlinear-coupling forces move these nodes to derive a self-organizing topology of the network. As such, variables are clustered into sub-network communities.

The demo codes simulate and generate two clusters of variables, then demonstrate the codes with the measure of variable-to-variable pairwise distances. This measure can be replaced with the use of nonlinear coupling analysis to characterize and qualtify variable-to-variable interdependence structures (see Ref[2] for group variable selection).

Author: Dr. Hui Yang

Affiliation:

The Pennsylvania State University

310 Leohard Building, University Park, PA

Email: yanghui@gmail.com

If you find this toolbox useful, please cite the following paper:

[1] H. Yang and G. Liu, “Self-organized topology of recurrence-based complex networks,” Chaos, Vol. 23, No. 4, p. 043116, 2013, DOI: 10.1063/1.4829877G.

[2] Liu and H. Yang, "Self-organizing network for group variable selection and predictive modeling,” Annals of Operations Research, Vol. 263, No. 1, p. 119-140, 2017. DOI: 10.1007/s10479-017-2442-2

https://youtu.be/BwgjK8t7Pso?si=pNBckLuAgGf1Q_-K

引用格式

Hui Yang (2024). Self-organizing Network (https://www.mathworks.com/matlabcentral/fileexchange/172685-self-organizing-network), MATLAB Central File Exchange. 检索来源 2024/10/2.