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This is the original implementation of the algorithm CPLE in the paper "Component preserving laplacian eigenmaps for data reconstruction and dimensionality reduction" (DOI | Direct Link).

Requirements

Current environment:

  • python == 3.9
  • scipy == 1.9.3
  • scikit-learn == 1.1.2
  • torch == 1.12.1

Citation

If you find this file useful in your research, please consider citing:

@article{meng2023component,
  title={Component preserving laplacian eigenmaps for data reconstruction and dimensionality reduction},
  author={Meng, Hua and Zhang, Hanlin and Ding, Yu and Ma, Shuxia and Long, Zhiguo},
  journal={Applied Intelligence},
  volume={53},
  number={23},
  pages={28570--28591},
  year={2023},
  publisher={Springer}
}

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