Nonlinear Functional Principal Component Analysis Using Neural Networks

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  • License: MIT License
  • Author: Rou Zhong
  • Requires: Python >=3.8
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nFunNN

nFunNN is a nonlinear functional principal component analysis method with the use of neural networks. This method can capture the nonlinear structure of functional data and realize both dimension reduction and curve reconstruction.

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Avatar for Zhongrou from gravatar.com Zhongrou

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  • License: MIT License
  • Author: Rou Zhong
  • Requires: Python >=3.8
Classifiers

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0.0.1

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