We share the source codes by Google Drive, since some files are too large to upload to the repository in Github.
Source codes of "Multi-view Subspace Clustering Networks with Local and Global Graph Information" accepted by Neurocomputing 2021 can be found in: "https://drive.google.com/drive/folders/1Of7042CyznYvR2oKNd6DCKtxMS7ISgWh?usp=sharing"
The exact Python and library versions that we have used are as follows. The follwing list is obtained by using the "pip list" comand in the python environment.
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absl-py 0.15.0
astor 0.8.1
certifi 2021.5.30
coverage 4.4.1
cycler 0.11.0
Cython 0.26
decorator 4.4.2
gast 0.2.2
google-pasta 0.2.0
grpcio 1.36.1
h5py 2.10.0
imageio 2.15.0
joblib 1.1.1
Keras-Applications 1.0.8
Keras-Preprocessing 1.1.2
kiwisolver 1.3.1
Markdown 3.1.1
matplotlib 3.3.4
mkl-fft 1.3.0
mkl-random 1.1.1
mkl-service 2.3.0
munkres 1.1.4
networkx 2.5.1
numpy 1.19.2
opt-einsum 3.3.0
Pillow 8.4.0
pip 21.2.2
protobuf 3.17.2
pyparsing 3.0.9
pyreadline 2.1
python-dateutil 2.8.2
PyWavelets 1.1.1
scikit-image 0.17.2
scikit-learn 0.24.2
scipy 1.5.2
setuptools 58.0.4
six 1.16.0
tensorboard 2.0.0
tensorflow 1.15.0
tensorflow-estimator 1.15.0
termcolor 1.1.0
threadpoolctl 3.1.0
tifffile 2020.9.3
Werkzeug 0.16.1
wheel 0.37.1
wincertstore 0.2
wrapt 1.12.1
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If you find the codes useful in your research, please cite our work as follows, thanks.
@article{MSCNLG,
title={Multi-view Subspace Clustering Networks with Local and Global Graph Information},
author={Zheng, Qinghai and Zhu, Jihua and Ma, Yuanyuan and Li, Zhongyu and Tian, Zhiqiang},
journal={Neurocomputing},
year={2021},
volume={449},
pages={15--23},
publisher={Elsevier}
}
Email: qhxjtu@163.com; zhengqinghai@fzu.edu.cn; zhengqinghai@stu.xjtu.edu.cn