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Nonlinear Modeling of Time Series Based on the Genetic Programming and Its Applications to Clustering of Feature in Stock Prices

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Table of Contents 1 Introduction
2 Description of Feature of Time Series
3 Applying the GP to Nonlinear Function Approximation
4 Application to Clustering of time series
5 Application to clustering of segments in stock trends
6 Clustering by using sliding window
7 Conclusion

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Created Date 2020.05.28
Modified Date 2020.10.14

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