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dengweihuan / SSDGL

SSDGL: A Spectral-Spatial-Dependent Global Learning Framework for Insufficient and Imbalanced Hyperspectral Image Classification (TCYB2021) https://ieeexplore.ieee.org/document/9440852
GNU General Public License v3.0
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About Figure 10 #4

Open HopePersist opened 2 years ago

HopePersist commented 2 years ago

Hello, I was lucky to read your article and I feel that the ideas and experiments in your article are very well done, especially Figure 10 in the article is a good representation of the feature extraction capability of the network. However, due to my limited coding ability, I did not succeed in reproducing Figure 10. I would like to consult you if you can share the code or demo for drawing Figure 10. Thank you very much.

dengweihuan commented 2 years ago

You can refer to the following website: https://github.com/dengweihuan/t-SNE

发件人：ZHUWENXIANG @.> 发送日期：2022-03-25 11:22:24 收件人：dengweihuan/SSDGL @.> 抄送人：Subscribed @.***> 主题：[dengweihuan/SSDGL] About Figure 10 (Issue #4)

Hello, I was lucky to read your article and I feel that the ideas and experiments in your article are very well done, especially Figure 10 in the article is a good representation of the feature extraction capability of the network. However, due to my limited coding ability, I did not succeed in reproducing Figure 10. I would like to consult you if you can share the code or demo for drawing Figure 10. Thank you very much. — Reply to this email directly, view it on GitHub, or unsubscribe. You are receiving this because you are subscribed to this thread.Message ID: @.***>

HopePersist commented 2 years ago

Thanks for sharing the code about t-SNE. Best wishes.